Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Arica

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Belo Horizonte

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bogota

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cali

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Copiapo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Coquimbo Laserena

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Gran Valparaiso

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Iquique Altohospicio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Medellin

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Mexico City

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Montevideo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Osorno

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Puerto Montt

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

San Antonio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Santiago

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Sao Paulo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Temuco Padrelascasas

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Valdivia

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Accra

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bangalore

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cape Town

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Delhi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Vizag

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Kisumu

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Nairobi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Port Louis

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Who hit whom matrix for all case cities

Baseline scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Bicycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Driving scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Public Transport scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Motorcycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Change in deaths due to injury per billion km

[1] NA

antofagasta mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.0576 1.3744898 3.0660 1.331324 3.1288 1.2318724 2.9926 1.5703302 3.1184 1.2852259
car 17.4095 9.6214286 17.4407 9.326163 16.2350 10.2700814 17.8723 8.3556704 17.5428 8.9139517
cycle 95.3573 0.2290816 44.4304 2.050156 99.2881 0.2198768 88.4000 0.1919912 89.3096 0.2084534
motorcycle 157.4219 2.2908163 157.3265 2.116976 162.6145 2.1999485 153.0389 2.1155867 97.6900 10.5725083
pedestrian 107.0942 5.0397959 104.9451 4.628798 113.2222 5.0443569 100.9329 5.2751424 102.2116 4.6379445
truck 11.0045 2.2908163 10.9734 2.284347 11.0722 2.3049236 10.8888 2.2667411 10.9343 2.2762111

[1] “ub”

antofagasta ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.1208 4.549664 10.1571 4.410376 10.3600 4.078953 9.9029 5.196341 10.3175 4.252246
car 50.6001 27.964271 50.6138 27.065013 47.0948 29.791653 52.0785 24.347755 50.8866 25.856843
cycle 887.8278 2.132873 445.7849 20.569883 926.8310 2.052498 824.5065 1.790702 833.5053 1.945445
motorcycle 614.7988 8.946600 616.5052 8.295659 636.4837 8.610739 594.3234 8.215838 375.4138 40.629205
pedestrian 373.2241 17.563730 366.6012 16.169634 392.8266 17.501498 352.5202 18.424069 357.3375 16.214517
truck 40.8667 8.507286 40.5543 8.442252 41.5067 8.640533 39.7556 8.276001 40.1654 8.361309

[1] “lb”

antofagasta lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9446 0.4246296 0.9464 0.4109473 0.9661 0.3803675 0.9239 0.4848097 0.9639 0.3972693
car 6.4278 3.5523456 6.4469 3.4473688 6.0036 3.7977964 6.5829 3.0776449 6.4857 3.2955622
cycle 10.4403 0.0250812 4.6037 0.2124290 10.8521 0.0240322 9.6646 0.0209899 9.7609 0.0227825
motorcycle 43.5346 0.6335193 43.4157 0.5841992 44.9749 0.6084477 42.4148 0.5863363 26.8862 2.9097674
pedestrian 34.6777 1.6319123 33.9224 1.4962116 36.8546 1.6419735 32.5591 1.7016649 33.0096 1.4978403
truck 3.4496 0.7181110 3.4463 0.7174205 3.4572 0.7196949 3.4368 0.7154435 3.4421 0.7165445

[1] NA

arica mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.6860 0.4581633 3.6605 0.4312669 3.9226 0.3785155 3.2748 0.5704910 3.6670 0.3900131
car 34.5337 9.3923469 34.8362 8.9745179 30.4922 9.9726964 35.7300 8.1702794 34.7432 8.5574484
cycle 108.2140 1.1454082 86.4816 3.5279830 112.7733 1.1030689 103.4131 0.9883559 102.9315 0.9997114
motorcycle 198.6391 2.0617347 197.4586 1.9184218 204.9824 1.9297619 192.5833 1.9413611 144.7474 10.2611963
pedestrian 286.1972 10.5377551 280.0883 9.7930743 297.2514 10.3712602 263.2808 10.6071792 269.5193 9.6651348
truck 22.8131 2.5198980 22.7329 2.5110386 22.8986 2.5293405 22.6298 2.4996541 22.6451 2.5013479

[1] “ub”

arica ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 27.6775 3.440297 27.4894 3.238663 29.4556 2.842341 24.5927 4.284148 27.5362 2.928691
car 56.3069 15.314118 56.7256 14.613706 49.4835 16.183965 58.7082 13.424635 56.4021 13.892146
cycle 289.7317 3.066712 231.7528 9.454270 300.2693 2.937023 280.0028 2.676087 275.7569 2.678259
motorcycle 530.4063 5.505245 526.7226 5.117406 546.7575 5.147329 515.0646 5.192175 385.4539 27.324969
pedestrian 504.8156 18.587264 495.8864 17.338292 518.3314 18.084861 475.5333 19.158504 478.2004 17.148577
truck 54.9246 6.066891 54.3181 5.999894 55.5193 6.132578 53.6312 5.924019 53.6411 5.925117

[1] “lb”

arica lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4914 0.0610821 0.4880 0.0574913 0.5229 0.0504615 0.4366 0.0760520 0.4889 0.0519946
car 22.0510 5.9973277 22.2632 5.7354684 19.5305 6.3876152 22.6985 5.1904007 22.2482 5.4798636
cycle 40.8206 0.4320718 32.5943 1.3296723 42.7445 0.4180963 38.6262 0.3691648 38.7986 0.3768270
motorcycle 75.2915 0.7814724 74.9189 0.7278789 77.7304 0.7317757 72.9636 0.7355195 55.0033 3.8992023
pedestrian 176.9627 6.5157494 172.8012 6.0418635 185.3837 6.4681370 159.8790 6.4412771 166.1558 5.9584531
truck 11.2901 1.2470910 11.2795 1.2459167 11.3023 1.2484315 11.2644 1.2442489 11.2681 1.2446553

[1] NA

belo_horizonte mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.3813 5.1450544 1.3878 5.0550723 1.4181 4.6962287 1.2986 5.9912962 1.4294 4.9296170
car 17.2422 94.0809950 17.3801 91.6961065 16.5088 104.8428430 17.8991 84.8526889 17.9314 90.8782542
cycle 172.9881 14.9941586 136.8416 64.6578301 176.7959 13.1267860 176.1082 13.8203744 179.6758 14.6420211
motorcycle 73.0562 131.2723884 73.2024 129.1402955 74.7059 120.7357151 76.1931 120.3699349 67.7785 179.5232516
other 92.4962 51.7445473 92.9465 50.4780934 94.2658 46.4065241 94.6369 45.3302782 93.6592 48.9944901
pedestrian 228.7807 167.2877693 229.9265 159.6150879 229.5989 156.7797164 227.1398 174.8993747 242.5456 170.3136347
rail 0.1696 0.1470016 0.1701 0.1448435 0.1721 0.1336762 0.1696 0.1470016 0.1714 0.1374755
truck 3.6078 7.2030762 3.6046 7.1966518 3.5999 7.1872046 3.6092 7.2058693 3.6674 7.3221071

[1] “ub”

belo_horizonte ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.2946 8.546836 2.3106 8.416077 2.3622 7.822892 2.1404 9.874984 2.3949 8.258978
car 19.5641 106.750038 19.8111 104.521401 18.6950 118.726648 20.3223 96.340418 20.3835 103.305583
cycle 236.0667 20.461650 186.7067 88.219124 241.1617 17.905830 240.2766 18.856095 245.2849 19.988599
motorcycle 82.7331 148.660571 83.7013 147.661953 84.4904 136.548902 86.2303 136.226758 76.7467 203.277047
other 106.5268 59.593601 107.0759 58.151621 108.5427 53.434981 108.9925 52.206516 107.9950 56.493805
pedestrian 256.9055 187.853050 261.4662 181.509942 257.3366 175.720147 254.7349 196.147830 272.5374 191.373654
rail 1.4719 1.275719 1.4758 1.256990 1.4937 1.160078 1.4719 1.275719 1.4877 1.193049
truck 5.5795 11.139633 5.5851 11.150817 5.5641 11.108881 5.5812 11.142931 5.6844 11.349087

[1] “lb”

belo_horizonte lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.8555 3.186333 0.8585 3.1271696 0.8762 2.9017843 0.8091 3.733052 0.8793 3.0323132
car 15.2523 83.223222 15.3338 80.8998498 14.6291 92.9054180 15.8213 75.002741 15.8318 80.2370112
cycle 126.9132 11.000506 100.4103 47.4439717 129.7498 9.6336895 129.2207 10.140806 131.7607 10.7373559
motorcycle 64.7925 116.423576 64.5400 113.8584154 66.3130 107.1714712 67.5980 106.791472 60.1159 159.2273704
other 81.0119 45.319972 81.4008 44.2077658 82.5716 40.6495319 82.8859 39.701678 81.9664 42.8778618
pedestrian 204.9314 149.848802 204.3732 141.8759818 205.9540 140.6339719 203.6681 156.826060 216.9965 152.3733031
rail 0.0195 0.016939 0.0196 0.0166904 0.0198 0.0154036 0.0195 0.016939 0.0198 0.0158414
truck 2.3536 4.698986 2.3490 4.6897863 2.3494 4.6906959 2.3546 4.700969 2.3874 4.7665365

[1] NA

bogota mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5198 7.347687 0.5210 7.189438 0.5296 6.922504 0.4951 8.332384 0.5329 7.044490
car 2.0056 20.707117 2.0115 20.223046 1.9037 23.160916 2.0668 18.005502 2.0766 19.920139
cycle 56.8204 63.011979 45.4593 92.555370 57.9469 59.269392 56.0671 54.307144 59.7114 61.118033
motorcycle 38.0593 195.270338 38.0144 191.572120 39.2971 188.956334 38.8063 165.892543 32.8208 236.205298
pedestrian 65.1805 166.992877 65.2812 157.727596 66.4479 158.884025 63.1000 163.314089 68.2839 165.318409
truck 0.3856 1.558600 0.3845 1.552663 0.3869 1.563682 0.3802 1.536887 0.3914 1.581798

[1] “ub”

bogota ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9274 13.109280 0.9297 12.82911 0.9463 12.367584 0.8819 14.842484 0.9541 12.612433
car 3.1302 32.318499 3.1412 31.58047 2.9617 36.032632 3.2248 28.093569 3.2402 31.081491
cycle 72.9014 80.845290 58.7696 119.65515 74.3162 76.012199 72.0008 69.740655 76.5763 78.380194
motorcycle 48.1141 246.858174 48.1830 242.81598 49.5940 238.468150 49.0889 209.849222 41.7749 300.646211
pedestrian 81.3437 208.403248 81.6718 197.32943 82.8628 198.133764 78.7276 203.761102 85.2352 206.358363
truck 1.1915 4.815833 1.1870 4.79364 1.1967 4.836738 1.1691 4.725156 1.2156 4.912867

[1] “lb”

bogota lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.2970 4.1986840 0.2977 4.1080556 0.3023 3.9509203 0.2833 4.7670812 0.3036 4.012876
car 1.2987 13.4090654 1.3020 13.0900062 1.2366 15.0444961 1.3387 11.6622879 1.3447 12.899233
cycle 44.6039 49.4643663 35.4474 72.1709873 45.5064 46.5449711 43.9813 42.6007160 46.8819 47.986262
motorcycle 30.3781 155.8604047 30.2796 152.5925938 31.4125 151.0442107 30.9544 132.3264916 26.0475 187.458930
pedestrian 52.5050 134.5181879 52.4874 126.8162946 53.5619 128.0720895 50.8448 131.5954985 54.9790 133.106772
truck 0.1305 0.5275558 0.1302 0.5259449 0.1308 0.5287904 0.1292 0.5223553 0.1319 0.533092

[1] NA

buenos_aires mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4532 3.385700 0.4558 3.278905 0.4607 3.104124 0.4296 4.131322 0.4592 3.153495
car 10.5489 85.488915 10.5762 82.985725 9.9872 102.740472 11.0266 69.196428 11.5141 85.819325
cycle 27.1916 15.235648 23.3011 34.766165 28.2016 14.501969 26.2705 13.109952 32.2005 17.016009
motorcycle 112.9509 207.374100 111.8118 201.387606 120.1396 199.817431 118.1233 157.683870 96.7101 402.456587
pedestrian 114.8069 251.388194 113.9753 237.238050 119.8424 245.152800 105.8000 244.617122 141.2625 293.231264
truck 0.9524 2.539275 0.9524 2.539275 0.9524 2.539275 0.9524 2.539275 0.9524 2.539275

[1] “ub”

buenos_aires ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.3809 10.315435 1.3886 9.990058 1.4037 9.457539 1.3090 12.587173 1.3992 9.607962
car 14.4692 117.258836 14.5517 114.179427 13.6481 140.401251 15.1206 94.888022 16.0531 119.650511
cycle 58.0586 32.530664 49.8697 74.407496 59.9699 30.838078 56.4928 28.192048 67.5525 35.697401
motorcycle 146.1281 268.286210 146.5555 263.965514 154.7661 257.408735 152.9449 204.167491 125.2667 521.294254
pedestrian 145.9028 319.477708 146.8401 305.645609 151.6376 310.193953 134.5269 311.035603 179.8343 373.298192
truck 3.4474 9.191765 3.4474 9.191765 3.4474 9.191765 3.4474 9.191765 3.4474 9.191765

[1] “lb”

buenos_aires lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1488 1.1112437 0.1496 1.0761920 0.1512 1.0188257 0.1410 1.3559696 0.1507 1.0350302
car 7.8188 63.3638218 7.8326 61.4577982 7.4248 76.3807083 8.1737 51.2930783 8.4118 62.6963277
cycle 13.3000 7.4521081 11.3757 16.9730261 13.8409 7.1173454 12.7800 6.3776869 15.9487 8.4279017
motorcycle 88.4349 162.3634361 87.0273 156.7474939 94.3548 156.9319371 92.3830 123.3228790 75.6260 314.7154605
pedestrian 91.5584 200.4818625 90.3537 188.0700397 95.8949 196.1653188 84.3784 195.0887267 112.1375 232.7738931
truck 0.2631 0.7014883 0.2631 0.7014883 0.2631 0.7014883 0.2631 0.7014883 0.2631 0.7014883

[1] NA

cali mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1522 0.2783215 0.1526 0.2739747 0.1539 0.2600644 0.1410 0.3783842 0.1545 0.2566094
car 5.3053 11.1328585 5.2921 10.8475721 4.8102 12.7977271 5.3636 10.0156893 5.4358 10.4923566
cycle 107.2446 28.9454320 96.5738 52.2167012 110.0230 26.7896305 103.8580 25.0053467 110.4137 27.8381844
motorcycle 33.7982 153.3551254 33.8459 148.8021154 35.6708 150.7946093 34.7859 137.4659883 32.4125 161.4660941
other 64.6108 0.2783215 64.9294 0.2601007 63.7950 0.2182577 59.5482 0.1924974 67.3100 0.2645591
pedestrian 205.1346 87.9495819 203.5523 82.8320213 208.5912 83.8934621 194.5955 84.3205144 210.5311 84.6449065

[1] “ub”

cali ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.1245 2.056513 1.1274 2.024395 1.1368 1.921612 1.0416 2.795875 1.1418 1.896083
car 8.2900 17.396195 8.2718 16.955106 7.4909 19.930018 8.3660 15.622335 8.5141 16.434299
cycle 143.2626 38.666758 129.1313 69.820315 146.7649 35.735966 139.3100 33.540941 147.1317 37.095749
motorcycle 39.9463 181.251265 40.2174 176.813818 42.0018 177.558265 41.1346 162.554948 38.2761 190.676275
other 481.0504 2.072202 483.8483 1.938248 474.7772 1.624324 443.4038 1.433362 500.9523 1.968973
pedestrian 247.0599 105.924644 246.4527 100.289604 250.8064 100.872022 235.0187 101.836343 252.8567 101.662094

[1] “lb”

cali lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0206 0.0376671 0.0206 0.0370788 0.0208 0.0351962 0.0191 0.0512092 0.0209 0.0347286
car 3.4539 7.2478923 3.4458 7.0630735 3.1401 8.3543535 3.4968 6.5298246 3.5308 6.8153264
cycle 82.6184 22.2988070 74.3514 40.2012183 84.7807 20.6433427 79.7011 19.1892263 85.2073 21.4829992
motorcycle 28.9547 131.3781462 28.9005 127.0599093 30.6147 129.4202529 29.7400 117.5257808 27.7828 138.4024770
other 8.6868 0.0374199 8.7226 0.0349417 8.5792 0.0293514 8.0041 0.0258744 9.0525 0.0355805
pedestrian 172.1741 73.8180712 170.2764 69.2909893 175.1197 70.4315232 162.7441 70.5189102 177.0682 71.1910118

[1] NA

copiapo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 7.2678 0.6872449 7.3137 0.6648022 7.4767 0.5909760 6.9046 0.9113077 7.3934 0.6276014
car 21.1804 5.0397959 21.2285 4.8702823 19.0305 5.2371287 21.9407 4.4590856 21.9481 4.7296500
cycle 334.4041 1.1454082 249.9545 5.7615960 339.3095 1.0804167 332.4520 1.1022943 396.9461 1.3139593
motorcycle 369.2802 2.5198980 368.1097 2.3308439 378.9322 2.2751969 367.7058 2.4664082 265.7480 13.5711721
pedestrian 120.8525 2.5198980 118.8727 2.3537704 121.1570 2.4185891 117.2035 2.7296321 143.2505 2.8950551
truck 9.8249 0.9163265 9.7394 0.9083453 9.8115 0.9150758 9.7752 0.9116871 10.4353 0.9732552

[1] “ub”

copiapo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 23.0611 2.180678 23.2070 2.109466 23.7241 1.875210 21.9088 2.891646 23.4598 1.991425
car 39.9198 9.498753 39.8552 9.143670 35.4805 9.764101 42.0337 8.542655 47.8096 10.302586
cycle 1073.7241 3.677742 800.1693 18.444365 1073.0683 3.416824 1085.1485 3.597972 1707.3621 5.651660
motorcycle 973.9935 6.646346 971.4380 6.151075 994.1491 5.969102 982.8412 6.592466 701.7757 35.838165
pedestrian 313.9392 6.545953 307.7177 6.093046 309.0224 6.168842 310.6841 7.235734 521.5227 10.539839
truck 44.1560 4.118219 43.3946 4.047205 43.8067 4.085641 43.9998 4.103650 55.5674 5.182504

[1] “lb”

copiapo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.2904 0.2165866 2.3049 0.2095137 2.3563 0.1862472 2.1760 0.2872004 2.3300 0.1977898
car 13.1794 3.1359858 13.2179 3.0324756 11.8661 3.2655080 13.6016 2.7643056 13.4001 2.8876043
cycle 112.0794 0.3838968 83.8425 1.9326183 114.8375 0.3656613 109.6012 0.3633991 115.3605 0.3818630
motorcycle 141.5830 0.9661356 141.0314 0.8930006 145.9740 0.8764620 139.2691 0.9341558 101.7151 5.1943686
pedestrian 51.2483 1.0685802 50.4445 0.9988404 51.9663 1.0373746 48.7043 1.1343083 52.1282 1.0534972
truck 2.6245 0.2447742 2.6143 0.2438199 2.6254 0.2448602 2.6146 0.2438479 2.6500 0.2471499

[1] NA

coquimbo_laserena mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.2192 1.3744898 3.2072 1.3344701 3.3279 1.2456265 2.9834 1.6098838 3.1974 1.2648078
car 19.7195 13.9739796 19.7848 13.5079552 18.0871 14.6616340 20.6919 12.4696939 20.0680 12.8100186
cycle 117.9160 1.3744898 91.5610 6.2272429 124.0998 1.2699582 111.3805 1.2301981 112.5780 1.2454277
motorcycle 325.2547 5.7270408 321.6655 5.5311996 336.4880 5.3677313 322.2712 4.9106912 231.7746 35.1551289
pedestrian 92.8770 9.6214286 91.6665 8.9297239 96.3634 9.3891400 85.6900 9.4550220 88.2508 8.7283094
truck 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265

[1] “ub”

coquimbo_laserena ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.3978 4.439558 10.3370 4.301127 10.7894 4.038466 9.5556 5.156306 10.2691 4.062173
car 30.0665 21.306214 30.1475 20.583026 27.5144 22.303524 31.6818 19.092578 30.5196 19.481557
cycle 287.0723 3.346263 223.0724 15.171594 301.2202 3.082495 272.9682 3.014935 274.4148 3.035794
motorcycle 612.7651 10.789487 606.7604 10.433550 631.6685 10.076516 611.8784 9.323657 437.8010 66.404824
pedestrian 146.9932 15.227507 145.2784 14.152346 151.6871 14.779583 137.2477 15.143879 140.0083 13.847303
truck 9.5631 2.490834 9.5631 2.490834 9.5631 2.490834 9.5631 2.490834 9.5631 2.490834

[1] “lb”

coquimbo_laserena lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0422 0.4449853 1.0403 0.4328514 1.0738 0.4019214 0.9730 0.5250614 1.0403 0.4115219
car 13.2420 9.3837495 13.2919 9.0749359 12.1659 9.8618657 13.8528 8.3481588 13.5022 8.6188441
cycle 48.7436 0.5681807 37.8225 2.5723842 51.4365 0.5263679 45.7692 0.5055214 46.4796 0.5141945
motorcycle 174.6536 3.0752773 172.5015 2.9662497 181.2960 2.8920747 171.7673 2.6173492 124.1066 18.8242474
pedestrian 59.8233 6.1972966 58.9670 5.7442922 62.3472 6.0747789 54.6423 6.0292156 56.7074 5.6085599
truck 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977

[1] NA

gran_valparaiso mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5439 0.4581633 0.5491 0.4438406 0.5770 0.4253276 0.4905 0.5076025 0.5470 0.4256562
car 13.6691 14.6612245 13.9455 14.4150985 12.5085 15.8223745 14.7149 12.9965649 14.1245 13.8730445
cycle 27.2171 0.4581633 19.2340 2.2115398 28.7782 0.4417639 26.5887 0.3815613 26.8634 0.4168820
motorcycle 218.1498 5.9561225 218.7288 5.8279942 230.4830 5.1801596 224.3482 4.6460154 154.1527 35.6284625
other 62.5242 0.2290816 62.7628 0.2240654 66.1983 0.2177112 59.0431 0.2097183 61.7464 0.2069330
pedestrian 125.1156 18.5556123 125.9228 17.7083593 131.1648 18.2633727 116.5597 18.7495175 122.9241 17.5234414
truck 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796

[1] “ub”

gran_valparaiso ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.1036 3.456539 4.2273 3.416917 4.3429 3.201511 3.6972 3.826161 4.2495 3.306722
car 21.3144 22.861440 23.5746 24.368455 19.3444 24.469299 22.8109 20.147132 24.6503 24.211554
cycle 117.1652 1.972319 82.8303 9.523874 123.2925 1.892620 114.5239 1.643476 123.3162 1.913695
motorcycle 403.5347 11.017671 426.0494 11.352016 424.0751 9.531188 416.2167 8.619409 285.4040 65.963864
other 481.0624 1.762558 498.1153 1.778290 507.1656 1.667953 454.2036 1.613311 497.2693 1.666518
pedestrian 198.9812 29.510451 219.8257 30.913814 205.0121 28.545873 186.3633 29.977951 224.0116 31.933964
truck 11.9219 4.896791 11.9219 4.896791 11.9219 4.896791 11.9219 4.896791 11.9219 4.896791

[1] “lb”

gran_valparaiso lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0726 0.0611851 0.0727 0.0587291 0.0771 0.0568706 0.0655 0.0678059 0.0721 0.0560887
car 9.3224 9.9990466 9.3516 9.6665549 8.5665 10.8360907 10.0183 8.8484288 9.4089 9.2413907
cycle 6.3940 0.1076348 4.5173 0.5194030 6.7814 0.1040996 6.2358 0.0894872 6.1527 0.0954820
motorcycle 120.1780 3.2812078 118.9150 3.1684699 127.4776 2.8650891 123.0837 2.5489331 84.7977 19.5988238
other 8.2171 0.0301064 8.1284 0.0290185 8.7239 0.0286911 7.7530 0.0275383 7.9397 0.0266086
pedestrian 87.2861 12.9451985 85.9282 12.0839806 92.3448 12.8580820 80.6189 12.9681588 82.9265 11.8215794
truck 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329

[1] NA

iquique_altohospicio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.5457 0.6872449 4.3978 0.8230503 3.7296 0.6140811 3.1892 0.7983470 3.9596 0.6954945
car 17.4328 7.3306122 18.9455 7.6688435 15.8687 7.6421817 17.9768 6.5568924 18.5949 7.0726876
cycle 275.9259 0.6872449 183.9304 6.6573185 291.5328 0.6164278 268.5499 0.6381383 300.3155 0.7269396
motorcycle 228.2547 2.5198980 253.6542 2.6640846 233.5884 2.2931184 228.0797 2.3618763 165.8490 14.3653173
pedestrian 113.0861 4.3525510 137.5627 5.0147411 114.9762 4.2098070 107.7143 4.5715689 122.9896 4.5738987
truck 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082

[1] “ub”

iquique_altohospicio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 13.8960 2.693369 22.6524 4.239425 14.4389 2.377395 12.5654 3.145478 18.7103 3.286424
car 32.1934 13.537592 44.3012 17.932401 29.0246 13.977867 33.3327 12.157851 39.6648 15.086718
cycle 1058.6345 2.636727 705.7773 25.545449 1108.8747 2.344645 1040.1468 2.471636 1380.1409 3.340751
motorcycle 600.9154 6.634016 818.6846 8.598499 611.9652 6.007613 602.6207 6.240431 435.5150 37.722930
pedestrian 270.9776 10.429606 465.9917 16.987365 270.1298 9.890696 261.7719 11.110021 373.9915 13.908488
truck 17.4155 2.801593 17.4155 2.801593 17.4155 2.801593 17.4155 2.801593 17.4155 2.801593

[1] “lb”

iquique_altohospicio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9704 0.1880933 1.0470 0.1959449 1.0261 0.1689484 0.8692 0.2175854 0.9905 0.1739839
car 10.6482 4.4776331 10.8647 4.3978572 9.7242 4.6830450 10.9398 3.9902057 10.9623 4.1695675
cycle 74.9646 0.1867134 49.9403 1.8075782 79.6421 0.1683982 72.2776 0.1717487 75.1437 0.1818919
motorcycle 90.5533 0.9996945 93.7642 0.9847882 92.8374 0.9113776 90.2835 0.9349294 65.9520 5.7125513
pedestrian 53.4660 2.0578424 56.1259 2.0460268 54.9172 2.0107706 50.1736 2.1294470 52.9182 1.9679907
truck 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906

[1] NA

medellin mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 318.8052 0.1855476 318.0564 0.1851119 338.3955 0.1590745 338.9168 0.1441463 334.5887 0.1872441
bus 1.7272 2.7832146 1.7379 2.7040648 1.7604 2.6328782 1.6077 3.5300549 1.7584 2.6120820
car 3.2225 4.4531434 3.2408 4.3449985 2.8261 5.8165461 3.3066 3.8862059 3.2918 4.2189101
cycle 157.9430 10.0195726 123.2829 39.2508551 166.7776 9.3530707 159.5476 8.3018445 164.0225 9.6473120
motorcycle 36.0051 125.9868484 36.1376 124.5623773 38.8368 126.4616826 37.1203 115.2066599 34.7006 140.4775649
pedestrian 130.4729 75.5178900 131.4915 71.5654896 137.4827 75.2126947 126.4168 76.0742285 135.7481 74.2695089
truck 2.0845 1.1132858 2.0825 1.1122384 2.1223 1.1334723 2.0628 1.1017433 2.1111 1.1275163

[1] “ub”

medellin ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 2370.1281 1.379437 2371.6230 1.380307 2515.3492 1.182427 2519.6502 1.071644 2486.9907 1.391781
bus 3.5621 5.739837 3.5903 5.586231 3.6625 5.477632 3.2765 7.194188 3.6509 5.423492
car 5.6785 7.847041 5.7246 7.675190 4.9601 10.208525 5.8307 6.852756 5.8331 7.475884
cycle 235.4084 14.933822 183.8446 58.532504 248.2370 13.921403 238.0902 12.388706 244.1629 14.360927
motorcycle 41.5949 145.546556 42.3449 145.958325 44.8391 146.006431 42.8904 133.114522 40.0666 162.200617
pedestrian 155.0423 89.738667 158.7129 86.380949 163.2117 89.288298 150.3509 90.477109 161.0695 88.123135
truck 6.6597 3.556854 6.6660 3.560253 6.8158 3.640223 6.5702 3.509047 6.7690 3.615264

[1] “lb”

medellin lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 42.8967 0.0249663 42.6896 0.0248457 45.5392 0.0214073 45.6018 0.0193951 45.0282 0.0251989
bus 0.9152 1.4746748 0.9204 1.4321018 0.9283 1.3883672 0.8573 1.8822730 0.9282 1.3788881
car 1.9125 2.6427847 1.9216 2.5763249 1.6818 3.4614518 1.9614 2.3051926 1.9459 2.4939452
cycle 106.4804 6.7548952 83.0728 26.4487385 112.5839 6.3138276 107.4302 5.5899894 110.7130 6.5118053
motorcycle 31.3458 109.6833831 31.2513 107.7198097 33.8152 110.1100658 32.2958 100.2332278 30.2251 122.3594129
pedestrian 110.4132 63.9072762 110.4238 60.0991553 116.4114 63.6851925 106.8519 64.3006069 115.0123 62.9246511
truck 0.6788 0.3625632 0.6777 0.3619593 0.6880 0.3674488 0.6736 0.3597705 0.6853 0.3660278

[1] NA

mexico_city mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0556 11.024186 1.0623 10.759209 1.0718 10.273852 1.0135 12.774635 1.1084 10.874096
car 22.2538 288.203709 22.4518 283.963201 20.9830 317.401200 23.0155 250.214597 26.0449 318.247871
cycle 144.3242 32.285115 110.6401 134.086879 147.4015 29.879874 141.6482 28.321826 194.6871 40.692656
motorcycle 100.0264 102.367438 101.8365 101.980491 103.5846 96.907410 102.0076 86.813391 83.3817 277.856186
other 1309.0937 48.821393 1328.9292 47.646981 1340.3896 47.102985 1298.9757 41.743806 1806.0567 64.929521
pedestrian 249.2597 502.387887 253.9488 485.801255 253.2624 478.814005 236.9612 502.119143 351.2223 675.649325
truck 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302

[1] “ub”

mexico_city ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.5833 26.98013 2.6169 26.50379 2.6420 25.32571 2.4173 30.46852 3.0272 29.69806
car 26.5713 344.11750 27.0553 342.18689 25.0098 378.31253 27.4832 298.78536 31.5190 385.13628
cycle 239.8929 53.66369 184.1642 223.19215 244.7585 49.61516 236.2813 47.24322 316.3894 66.13035
motorcycle 136.1931 139.38066 141.2002 141.39985 140.7154 131.64478 138.9579 118.25985 113.6651 378.77074
other 1980.6465 73.86631 2040.9184 73.17441 2024.8808 71.15687 1971.9005 63.36888 2672.3869 96.07495
pedestrian 296.1388 596.87380 308.9644 591.04546 300.2884 567.72051 281.7322 596.98840 416.5894 801.39651
truck 4.1148 18.23497 4.1148 18.23497 4.1148 18.23497 4.1148 18.23497 4.1148 18.23497

[1] “lb”

mexico_city lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5289 5.523522 0.5315 5.383122 0.5359 5.137579 0.5112 6.443834 0.5383 5.280585
car 18.7649 243.018992 18.8393 238.273346 17.7202 268.046455 19.4042 210.953522 21.6700 264.790389
cycle 89.5350 20.028850 68.5616 83.091129 91.5192 18.551915 87.6422 17.523596 122.7205 25.650508
motorcycle 74.1359 75.871000 74.5909 74.696313 76.9131 71.955259 75.5629 64.307657 61.7233 205.683168
other 905.6220 33.774304 909.4338 32.606537 928.2830 32.621036 897.0550 28.827706 1262.6331 45.392906
pedestrian 211.6196 426.523634 212.6701 406.835638 215.3404 407.119269 201.0731 426.072382 297.8640 573.003366
truck 1.1049 4.896599 1.1049 4.896599 1.1049 4.896599 1.1049 4.896599 1.1049 4.896599

[1] NA

montevideo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.2237 0.3384842 0.2252 0.328266 0.2284 0.3029923 0.2143 0.3959394 0.2264 0.3141271
car 9.1263 13.8778514 9.0975 13.400615 8.7305 15.8650608 9.4706 11.7081415 9.6152 13.1622717
cycle 91.2523 4.4002943 69.8104 14.498265 96.3078 4.2353078 88.7152 3.8700318 94.0084 4.1785199
motorcycle 93.4411 46.0338484 92.3917 43.734539 98.9890 45.0757077 93.7566 36.2424835 84.3950 68.5407893
pedestrian 55.1009 18.6166299 54.3835 17.210262 58.5718 18.0930074 50.7222 18.2601845 56.0113 18.0942501
truck 1.9285 1.0154525 1.9285 1.015453 1.9285 1.0154525 1.9285 1.0154525 1.9285 1.0154525

[1] “ub”

montevideo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6531 2.501054 1.6637 2.425552 1.6876 2.238806 1.5833 2.925590 1.6726 2.321080
car 15.3861 23.396881 15.2830 22.511815 14.6592 26.638539 15.9310 19.695001 16.3265 22.349433
cycle 213.0712 10.274544 163.0763 33.867796 222.7277 9.794847 208.6821 9.103354 220.7106 9.810228
motorcycle 133.2437 65.642657 131.4000 62.199520 139.9027 63.706217 134.6016 52.031468 120.3512 97.742287
pedestrian 85.9476 29.038661 84.5664 26.761966 90.2384 27.874932 79.4089 28.587512 88.6970 28.653227
truck 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105

[1] “lb”

montevideo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0303 0.0458093 0.0305 0.0444264 0.0309 0.0410059 0.0290 0.0535851 0.0306 0.0425129
car 5.5724 8.4737243 5.5664 8.1993059 5.3470 9.7164398 5.7917 7.1600401 5.8260 7.9752118
cycle 41.0141 1.9777489 31.3562 6.5120769 43.6558 1.9198435 39.6285 1.7287173 41.9380 1.8640781
motorcycle 67.4795 33.2438391 66.7762 31.6092130 71.9369 32.7572543 67.2986 26.0148759 60.8854 49.4476381
pedestrian 36.6393 12.3791268 36.2130 11.4599900 39.3104 12.1431003 33.6315 12.1074760 36.6812 11.8497250
truck 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218

[1] NA

osorno mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 38.1978 7.7887755 38.2908 7.5120395 34.1675 8.2134335 39.4510 6.9777388 38.4737 7.1720948
cycle 33.2999 0.2290816 27.7749 0.7472002 34.5056 0.2104352 32.7100 0.1985371 31.7941 0.2084666
motorcycle 177.2760 1.1454082 176.3839 1.0636982 181.1218 1.0859062 173.6663 1.0726431 128.5563 6.1989133
pedestrian 160.4439 5.7270408 157.9247 5.3323737 165.4198 5.5696418 152.2341 5.8995839 152.8137 5.2326046
truck 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714

[1] “ub”

osorno ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 67.2232 13.707238 67.2908 13.201398 60.0334 14.431263 69.7385 12.334720 67.4966 12.582430
cycle 264.6690 1.820749 220.8565 5.941471 273.8321 1.669989 260.9566 1.583908 252.9791 1.658726
motorcycle 672.8893 4.347643 670.3205 4.042425 686.0107 4.112941 662.3260 4.090830 489.3483 23.596100
pedestrian 312.8477 11.167093 308.3643 10.412012 320.9663 10.806851 300.3399 11.639180 298.9700 10.237249
truck 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948

[1] “lb”

osorno lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 22.6892 4.6264777 22.7715 4.4674020 20.3324 4.8876382 23.3362 4.1275012 22.9141 4.2715407
cycle 4.2017 0.0289052 3.5031 0.0942390 4.3607 0.0265943 4.1118 0.0249568 4.0075 0.0262761
motorcycle 47.1361 0.3045538 46.8394 0.2824690 48.2749 0.2894296 45.9357 0.2837200 34.0816 1.6433941
pedestrian 84.3625 3.0113167 82.9304 2.8001695 87.4354 2.9439257 79.1003 3.0654017 80.1049 2.7429297
truck 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958

[1] NA

puerto_montt mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.4565 0.4581633 1.4475 0.4442485 1.5107 0.4219770 1.3694 0.5026761 1.4431 0.4196498
car 14.9606 6.8724490 15.0018 6.6648685 13.6887 7.1611442 15.4986 6.2991096 14.9859 6.4548372
cycle 188.4476 0.4581633 118.3641 4.2591074 198.3315 0.4041241 180.9850 0.4316385 180.3790 0.4385465
motorcycle 222.9540 0.9163265 224.2687 0.8563746 230.5435 0.8553068 216.8984 0.8277679 142.3851 10.2298904
pedestrian 252.5346 13.5158163 250.0361 12.5524148 260.2180 12.9463182 238.5781 13.9282516 243.2339 12.4927183
truck 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714

[1] “ub”

puerto_montt ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.9263 3.437099 10.8595 3.332972 11.3307 3.165030 10.2733 3.771105 10.8259 3.148228
car 26.4369 12.144300 26.4935 11.770354 24.1154 12.615772 27.4632 11.161858 26.4131 11.376860
cycle 818.3026 1.989499 514.2398 18.503948 859.4248 1.751181 788.2856 1.880015 783.6683 1.905294
motorcycle 978.4226 4.021254 987.9253 3.772413 1007.0280 3.736032 961.0419 3.667705 629.7956 45.248711
pedestrian 424.8553 22.738532 421.7567 21.173203 434.7024 21.627234 405.9350 23.698596 410.8772 21.103038
truck 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948

[1] “lb”

puerto_montt lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1943 0.0611272 0.1931 0.0592665 0.2016 0.0563089 0.1827 0.0670651 0.1925 0.0559880
car 8.7429 4.0162002 8.7714 3.8969026 8.0202 4.1957256 9.0351 3.6721162 8.7764 3.7802509
cycle 43.5135 0.1057922 27.3173 0.9829620 45.8885 0.0935034 41.6658 0.0993705 41.6294 0.1012114
motorcycle 57.0833 0.2346085 57.2544 0.2186270 59.2807 0.2199290 55.0730 0.2101799 36.2460 2.6041555
pedestrian 160.9899 8.6162851 159.1229 7.9883504 166.9099 8.3040704 150.6482 8.7948814 154.7251 7.9468237
truck 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958

[1] NA

san_antonio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 32.6660 3.3699398 32.7077 3.2294413 26.1111 3.2046539 36.3401 3.1330080 38.4527 3.4491619
cycle 363.9221 0.2689038 209.8888 2.2009813 346.8691 0.2316371 383.8691 0.2551047 415.0192 0.3053182
motorcycle 58.9966 0.2202140 58.8647 0.2054472 60.9980 0.1717164 64.6490 0.2086202 44.5332 1.1978922
other 217.2067 0.2633219 211.7245 0.2552725 166.2736 0.0913646 212.6170 0.2232303 287.4175 0.2922394
pedestrian 310.7077 2.8519751 308.2362 2.6995008 286.2292 2.4906014 315.4513 3.3184558 350.9180 3.1233840
truck 33.6793 1.3388402 33.6793 1.3388402 33.6793 1.3388402 33.6793 1.3388402 33.6793 1.3388402

[1] “ub”

san_antonio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 195.5047 20.168944 195.1727 19.270674 153.4353 18.831349 216.5294 18.667744 266.1895 23.876874
cycle 5275.1286 3.897817 3024.1368 31.712363 4868.8622 3.251397 5503.8425 3.657643 6738.0250 4.956979
motorcycle 703.6993 2.626666 704.3763 2.458386 714.2446 2.010682 767.9003 2.477989 573.7228 15.432502
other 2699.8693 3.273080 2633.4009 3.175044 2508.5420 1.378402 2559.6661 2.687439 3877.7025 3.942757
pedestrian 2075.6800 19.052597 2057.0474 18.015410 1889.4261 16.440697 2095.6129 22.045235 2691.0645 23.952114
truck 169.0515 6.720243 169.0515 6.720243 169.0515 6.720243 169.0515 6.720243 169.0515 6.720243

[1] “lb”

san_antonio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.0749 0.6267093 6.0941 0.6017104 4.9203 0.6038787 6.7684 0.5835239 6.5780 0.5900379
cycle 27.0231 0.0199675 15.4387 0.1618964 26.5223 0.0177114 28.8308 0.0191599 28.5122 0.0209756
motorcycle 5.1041 0.0190520 5.0759 0.0177156 5.3770 0.0151368 5.6123 0.0181108 3.6096 0.0970937
other 19.4630 0.0235952 18.9605 0.0228604 12.0047 0.0065964 19.7568 0.0207430 24.3259 0.0247340
pedestrian 54.2937 0.4983599 53.9163 0.4721936 50.6973 0.4411390 55.2099 0.5807923 55.9006 0.4975492
truck 7.0636 0.2807968 7.0636 0.2807968 7.0636 0.2807968 7.0636 0.2807968 7.0636 0.2807968

[1] NA

santiago mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6057 5.233301 1.6027 5.122458 1.6676 5.015210 1.5263 5.775803 1.6254 5.000338
car 23.0340 71.218394 23.1465 69.065013 21.7016 80.910158 24.2942 63.220644 23.4423 68.339987
cycle 168.9855 28.214316 140.4181 61.657848 179.7733 26.410867 169.4210 24.872559 169.9037 26.581563
motorcycle 110.3350 43.004078 109.0947 41.859537 114.4590 42.202625 111.4669 36.889022 94.5418 98.770314
other 219.9363 2.502883 216.8280 2.358486 234.7643 2.461061 219.4801 2.282939 220.6994 2.346609
pedestrian 255.7173 121.276050 253.6491 113.848075 269.9665 119.535488 247.6478 125.552760 255.9464 115.865602
truck 6.4803 7.508648 6.4211 7.439980 6.6377 7.690997 6.4069 7.423588 6.4598 7.484892

[1] “ub”

santiago ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.1178 10.161536 3.1152 9.956565 3.2599 9.803921 2.9413 11.130437 3.1651 9.737087
car 28.0211 86.637652 28.2825 84.389940 26.3543 98.256641 29.5608 76.925866 28.6822 83.615747
cycle 229.6640 38.345380 190.9554 83.848904 243.3649 35.753240 230.4247 33.828464 233.1277 36.473018
motorcycle 143.1044 55.776255 142.3968 54.637544 148.1081 54.609526 144.6057 47.856031 122.6475 128.133180
other 443.8279 5.050778 440.2682 4.788893 472.7875 4.956285 442.6803 4.604573 447.6152 4.759314
pedestrian 310.7420 147.372020 311.3349 139.739837 326.4464 144.543623 300.8609 152.530828 314.9679 142.584308
truck 11.3979 13.206563 11.3284 13.126037 11.6775 13.530564 11.2573 13.043653 11.3949 13.203136

[1] “lb”

santiago lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.8537 2.782505 0.8529 2.725999 0.8813 2.650365 0.8166 3.090113 0.8626 2.653648
car 19.1658 59.258114 19.2539 57.450344 18.0777 67.399017 20.1959 52.555494 19.4244 56.626977
cycle 126.7758 21.166858 105.2789 46.228180 135.2718 19.873065 127.0196 18.647646 126.4380 19.781328
motorcycle 85.9086 33.483668 84.8535 32.558206 89.2422 32.904864 86.7385 28.705386 73.5779 76.868782
other 109.8727 1.250356 108.1909 1.176816 117.4083 1.230805 109.6678 1.140718 109.7391 1.166812
pedestrian 215.2789 102.097826 213.2004 95.693047 227.9283 100.921848 208.3946 105.652140 213.3359 96.576023
truck 3.7125 4.301582 3.6783 4.262030 3.7996 4.402562 3.6732 4.256093 3.6921 4.277990

[1] NA

sao_paulo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0577 9.678019 1.0562 9.326609 1.1182 9.043648 0.9512 10.810567 1.1841 10.003966
car 13.8070 164.732230 13.8562 159.161556 13.1875 190.592273 14.3538 139.999663 15.0946 166.867067
cycle 257.3022 37.682498 174.3718 220.908576 270.6912 34.583294 250.3859 32.903777 290.8226 40.689663
motorcycle 261.6329 424.391408 260.0760 411.128447 272.9788 402.632946 263.8237 342.316918 228.9950 958.063133
other 22.7871 1.441407 22.6401 1.317858 23.8720 1.424238 22.1144 1.139318 27.2847 1.448498
pedestrian 207.6521 391.444962 205.4306 369.063524 218.7653 381.735195 193.3567 388.950885 243.9325 437.374193
truck 3.2599 14.619985 3.2380 14.521937 3.3099 14.844372 3.1935 14.322331 3.4595 15.515091

[1] “ub”

sao_paulo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6022 14.660391 1.6044 14.16740 1.6951 13.708747 1.4384 16.34819 1.7991 15.200019
car 15.2775 182.277330 15.3797 176.66122 14.5759 210.659170 15.8832 154.91671 16.7918 185.628982
cycle 318.4593 46.639103 215.9225 273.54839 334.5818 42.745911 310.2211 40.76685 359.4992 50.298367
motorcycle 282.0965 457.585066 282.0878 445.92475 294.1149 433.807957 284.5487 369.20806 246.8788 1032.884543
other 48.7177 3.081656 48.5713 2.82728 51.0210 3.043979 47.2752 2.43558 58.3539 3.097907
pedestrian 225.7008 425.468491 225.2242 404.62334 237.2799 414.042357 210.2135 422.85966 266.3033 477.485416
truck 4.5507 20.408830 4.5261 20.29890 4.6268 20.750308 4.4481 19.94906 4.8597 21.794953

[1] “lb”

sao_paulo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.6990 6.3960504 0.6970 6.1549096 0.7385 5.9723478 0.6297 7.1563511 0.7802 6.5911230
car 12.5027 149.1702567 12.5315 143.9452230 11.9537 172.7616452 12.9960 126.7560297 13.5978 150.3196940
cycle 208.3766 30.5172346 141.1457 178.8149764 219.5037 28.0436178 202.5603 26.6189098 235.7423 32.9832506
motorcycle 242.9939 394.1572610 240.9113 380.8329008 253.6779 374.1648700 244.9160 317.7837849 212.6884 889.8400490
other 10.6633 0.6745095 10.5701 0.6152731 11.1739 0.6666518 10.3491 0.5331773 12.7622 0.6775218
pedestrian 191.7560 361.4792387 188.9543 339.4631191 202.3896 353.1604207 178.4982 359.0619628 224.1367 401.8800750
truck 2.3467 10.5244984 2.3303 10.4508512 2.3795 10.6716874 2.3036 10.3314249 2.4755 11.1022635

[1] NA

temuco_padrelascasas mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 16.7323 8.0178571 16.7461 7.7451656 15.2695 8.6564787 17.4328 6.7418799 16.7966 7.4128984
cycle 78.3794 2.0617347 49.0949 3.6126240 82.4504 1.9172749 74.6959 1.7058065 75.7078 1.8856022
motorcycle 123.0872 1.8326531 122.6767 1.7528001 126.8383 1.7431457 122.8602 1.4873599 64.9517 7.4487762
pedestrian 102.7011 9.1632653 100.0806 8.4450674 108.1309 9.1477095 98.0987 9.4805464 98.2837 8.4653954
truck 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633

[1] “ub”

temuco_padrelascasas ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 55.3811 26.537810 55.4020 25.623763 50.5844 28.677019 57.9693 22.418744 55.5958 24.536313
cycle 252.0297 6.629528 160.4857 11.809259 263.9978 6.138917 242.0366 5.527312 242.9540 6.051087
motorcycle 505.9010 7.532394 503.5333 7.194464 521.0605 7.160965 500.3444 6.057227 280.6975 32.190885
pedestrian 313.6018 27.980383 306.7034 25.880442 326.9906 27.662891 303.1494 29.297261 301.3437 25.955402
truck 14.1371 2.692553 14.1371 2.692553 14.1371 2.692553 14.1371 2.692553 14.1371 2.692553

[1] “lb”

temuco_padrelascasas lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 5.3592 2.5680684 5.3630 2.4804145 4.8883 2.7712534 5.5603 2.1503741 5.3784 2.3736544
cycle 25.6257 0.6740733 15.8241 1.1644096 27.0408 0.6287982 24.2785 0.5544404 24.7835 0.6172647
motorcycle 31.1664 0.4640387 31.1047 0.4444220 32.1147 0.4413538 31.4508 0.3807467 15.7885 1.8106522
pedestrian 37.1013 3.3102766 36.0434 3.0414405 39.3289 3.3271598 35.1718 3.3991026 35.4417 3.0526735
truck 0.4194 0.0798754 0.4194 0.0798754 0.4194 0.0798754 0.4194 0.0798754 0.4194 0.0798754

[1] NA

valdivia mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.1875 0.4404724 3.1713 0.4194297 3.2691 0.3796737 3.0276 0.5228542 3.2164 0.4013434
car 14.4097 3.3723376 14.5210 3.2410444 12.8486 3.5135348 14.6178 2.9393699 14.3530 3.1020623
cycle 83.4672 0.9870056 55.6500 1.9592776 83.3163 0.8931781 82.7189 0.9060076 82.4687 0.9108498
motorcycle 99.0763 0.6978317 98.8452 0.6332570 97.8801 0.6674989 102.3122 0.6779288 55.8057 2.7270232
pedestrian 78.9295 2.4658374 78.7516 2.3133532 77.2191 2.2432980 79.5160 2.7771376 77.4048 2.3218241

[1] “ub”

valdivia ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 24.8874 3.439182 24.8678 3.289011 25.3139 2.939967 24.6552 4.257812 25.1465 3.137834
car 85.2071 19.941277 85.8503 19.161539 75.4331 20.627643 86.6055 17.414751 84.9787 18.366111
cycle 638.3842 7.548942 445.3331 15.678908 638.1998 6.841716 632.6345 6.929146 629.6270 6.954101
motorcycle 916.1772 6.452981 905.0839 5.798471 906.4875 6.181841 930.7542 6.167249 572.4514 27.973656
pedestrian 411.7507 12.863515 409.5752 12.031404 403.4641 11.721060 412.3537 14.401670 402.0379 12.059469

[1] “lb”

valdivia lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5045 0.0697149 0.5001 0.0661475 0.5208 0.0604884 0.4634 0.0800302 0.5088 0.0634863
car 2.7580 0.6454652 2.7813 0.6207712 2.4830 0.6789815 2.7894 0.5609040 2.7473 0.5937680
cycle 12.4636 0.1473832 8.0325 0.2828025 12.4338 0.1332947 12.3569 0.1353431 12.3539 0.1364463
motorcycle 13.1353 0.0925168 13.2852 0.0851126 12.9547 0.0883452 13.7753 0.0912762 6.6457 0.3247522
pedestrian 16.2370 0.5072599 16.2500 0.4773500 15.8870 0.4615350 16.4334 0.5739442 15.9872 0.4795490

[1] NA

accra mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.5488 10.325895 3.5350 10.04909 3.7473 10.011333 3.2166 10.928178 3.7082 9.901419
car 20.1294 22.290821 20.3786 21.48435 16.5520 25.627176 20.8259 17.109797 21.8005 22.205283
cycle 218.9227 8.195155 160.7413 39.88491 236.9328 7.999277 198.2307 5.972110 232.8027 8.060479
motorcycle 108.2008 23.110336 106.4020 22.70619 117.7288 22.057361 104.6742 16.061799 80.6164 56.981287
pedestrian 187.2273 112.437521 185.5213 104.26570 202.5456 112.619452 166.5267 98.914718 197.2513 112.151647
truck 14.7151 4.917093 14.6697 4.90191 14.8714 4.969315 14.4635 4.832998 14.8166 4.951004

[1] “ub”

accra ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.1108 14.870893 5.1350 14.597498 5.4045 14.438919 4.6092 15.659635 5.3676 14.332163
car 26.2423 29.060121 27.0357 28.502702 21.5465 33.359987 27.1000 22.264325 28.6447 29.176536
cycle 298.2982 11.166494 219.0518 54.353563 322.0804 10.874013 270.4424 8.147636 319.7463 11.070780
motorcycle 139.7084 29.839949 139.8136 29.836230 151.3779 28.361764 135.7675 20.832938 104.3044 73.724449
pedestrian 217.8593 130.833323 220.8931 124.145189 234.3240 130.288850 194.4420 115.496078 232.6641 132.286415
truck 24.2673 8.108961 24.2051 8.088181 24.6889 8.249855 23.5771 7.878335 24.5613 8.207198

[1] “lb”

accra lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.4771 7.207644 2.4646 7.006305 2.6109 6.975369 2.2559 7.664293 2.5762 6.878695
car 15.5457 17.214916 15.6929 16.544430 12.7977 19.814430 16.0986 13.225970 16.7045 17.014640
cycle 160.9942 6.026658 118.1873 29.325954 174.6095 5.895132 145.6077 4.386732 169.8950 5.882382
motorcycle 84.5578 18.060488 82.8475 17.679656 92.3213 17.297074 81.4144 12.492682 62.8769 44.442692
pedestrian 163.4821 98.177618 161.3383 90.674504 177.6196 98.760071 144.9675 86.108812 169.9420 96.624322
truck 9.3314 3.118110 9.3124 3.111747 9.3892 3.137414 9.2394 3.087353 9.3663 3.129761

[1] NA

bangalore mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.3824 15.95592 5.3873 15.46275 5.6751 15.70140 5.1034 18.87003 5.5154 13.77448
car 47.3674 33.24149 46.9166 32.25796 37.8970 55.20311 48.1111 29.83436 48.6971 28.42436
cycle 105.9265 25.26353 90.0016 55.73971 122.0646 26.61472 105.1323 22.81831 104.3193 21.69632
motorcycle 54.0344 398.89792 53.7876 385.70468 63.8624 441.52891 55.6049 363.44983 49.8855 406.46949
other 991.2027 15.95592 978.5182 15.09975 1119.1959 16.89119 1010.8801 14.32295 977.0828 13.80297
pedestrian 696.2740 393.57928 690.6299 370.76791 795.8872 434.72547 673.9997 407.44600 681.5321 360.73540
truck 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660

[1] “ub”

bangalore ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 12.2010 36.16974 12.2162 35.06287 13.0876 36.20955 11.4882 42.47824 12.4874 31.18669
car 84.9465 59.61368 84.5870 58.15859 67.9963 99.04755 86.2803 53.50358 87.2455 50.92491
cycle 172.7258 41.19522 146.7316 90.87370 198.8357 43.35373 171.5423 37.23219 170.0703 35.37123
motorcycle 66.9973 494.59437 67.3775 483.15629 78.7763 544.63955 68.9736 450.83099 61.8432 503.90117
other 2277.6160 36.66400 2262.7097 34.91642 2526.8141 38.13531 2329.7067 33.00913 2253.5401 31.83511
pedestrian 856.7677 484.30075 857.8496 460.54055 976.2440 533.23902 829.9549 501.72391 837.7694 443.43192
truck 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721

[1] “lb”

bangalore lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.4915 7.385953 2.4958 7.163550 2.5909 7.168319 2.3752 8.782412 2.5552 6.381470
car 26.5987 18.666451 26.3076 18.088027 21.2665 30.978114 27.0114 16.750125 27.3600 15.969922
cycle 65.1347 15.534678 55.3488 34.278547 75.1066 16.376091 64.6180 14.024935 64.1553 13.343027
motorcycle 44.1238 325.735204 43.8487 314.433897 52.2992 361.583610 45.3689 296.544147 40.7302 331.871420
other 469.5562 7.558696 462.3680 7.134912 535.8628 8.087376 477.9254 6.771626 461.7780 6.523405
pedestrian 572.0967 323.386205 566.6537 304.210671 654.8196 357.672243 553.3883 334.534018 560.1897 296.508803
truck 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291

[1] NA

cape_town mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.7225 20.305130 5.7918 20.248410 6.2584 20.007581 4.9196 21.879796 6.1283 20.072416
car 28.7087 188.431605 29.5002 188.381250 27.8288 205.737229 30.3013 166.992823 31.0738 192.708269
cycle 474.2283 7.715949 315.9857 104.362033 524.1781 6.940877 444.8321 7.006667 500.5148 7.684482
motorcycle 656.7633 47.717055 665.9433 47.663597 740.3295 44.562162 611.1027 43.077382 367.1556 350.264270
other 117.1919 2.030513 118.5434 1.960568 132.1474 1.803957 108.8831 1.886551 122.4554 2.121710
pedestrian 499.1873 331.988873 506.9420 323.073626 537.7332 325.257853 460.7985 306.794437 523.7704 332.374740
truck 3.0095 6.294590 3.0336 6.344878 3.2055 6.704376 2.7906 5.836641 3.1482 6.584691

[1] “ub”

cape_town ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 7.5742 26.87556 7.8292 27.371386 8.2380 26.336104 6.5572 29.163116 8.2150 26.907212
car 31.9001 209.37797 33.5973 214.543775 30.8576 228.129340 33.7060 185.756294 35.2489 218.600804
cycle 663.1801 10.79030 441.8882 145.944443 731.9968 9.692698 622.7729 9.809461 708.5306 10.878180
motorcycle 783.6064 56.93282 814.0308 58.262670 879.9739 52.967678 732.0065 51.600039 438.6746 418.492973
other 222.1340 3.84878 227.5858 3.764002 250.2326 3.415950 206.5209 3.578262 233.7184 4.049496
pedestrian 543.7933 361.65448 568.1997 362.113154 583.3555 352.853336 503.8996 335.490635 584.9928 371.225303
truck 4.9551 10.36379 5.0723 10.608943 5.2329 10.944982 4.6407 9.706248 5.2093 10.895482

[1] “lb”

cape_town lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.3782 15.535037 4.3757 15.297738 4.8105 15.3788135 3.7415 16.6402497 4.6312 15.168808
car 25.9546 170.354455 26.3479 168.251122 25.2022 186.3187120 27.3614 150.7906919 27.6285 171.341672
cycle 339.3790 5.521878 226.1317 74.685549 375.6119 4.9736449 317.9958 5.0088354 354.3076 5.439740
motorcycle 557.8146 40.527945 558.2587 39.956282 630.5785 37.9559894 517.4142 36.4731657 311.5641 297.230317
other 61.8644 1.071887 62.0340 1.025969 69.8213 0.9531367 57.4421 0.9952644 64.2246 1.112781
pedestrian 460.4098 306.199589 461.0153 293.804606 497.6761 301.0285651 423.4743 281.9443704 473.4295 300.429334
truck 2.0173 4.219383 2.0107 4.205547 2.1551 4.5074657 1.8648 3.9003696 2.0906 4.372597

[1] NA

delhi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9467 7.476387 0.9422 7.200227 0.9886 7.184743 0.8718 9.128015 0.9846 6.672195
car 12.5375 123.734206 12.5032 121.033510 11.8907 141.534992 12.7211 111.017899 13.1461 112.475343
cycle 93.7394 101.678865 88.2435 180.921132 100.4555 96.310494 92.7618 87.614897 93.2475 91.214489
motorcycle 86.1816 758.479472 85.6634 723.436320 92.4710 749.344169 88.1845 651.582634 76.1936 909.998309
pedestrian 426.5115 869.503820 423.3655 824.119350 449.6067 860.757840 410.1922 836.175180 425.9715 802.812719
truck 15.5967 49.717974 15.4558 49.268775 15.9996 51.002254 15.3116 48.809179 15.4732 49.324211

[1] “ub”

delhi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.8871 14.90260 1.8781 14.35190 1.9705 14.32081 1.7377 18.19371 1.9629 13.30127
car 14.8792 146.84518 14.8341 143.59673 14.1031 167.86973 15.1030 131.80469 15.6163 133.60967
cycle 108.3843 117.56410 102.0211 209.16865 116.0644 111.27530 107.2975 101.34402 107.9141 105.56136
motorcycle 93.3263 821.35955 92.7682 783.43786 100.0301 810.59905 95.6184 706.51106 82.5483 985.89401
pedestrian 460.7149 939.23243 457.2712 890.11979 484.9215 928.36682 443.4906 904.05378 460.9258 868.68989
truck 20.3958 65.01631 20.2037 64.40405 20.9397 66.75012 20.0104 63.78765 20.2323 64.49501

[1] “lb”

delhi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4750 3.75079 0.4727 3.612303 0.4960 3.604591 0.4374 4.579652 0.4939 3.346923
car 10.5753 104.36980 10.5496 102.121693 10.0356 119.454594 10.7262 93.608318 11.0785 94.785737
cycle 81.0798 87.94702 76.3325 156.500630 86.9524 83.364516 80.2016 75.751578 80.5812 78.824309
motorcycle 79.6055 700.60303 79.1241 668.211208 85.5061 692.903141 81.3507 601.088540 70.3472 840.173591
pedestrian 395.7153 806.72159 392.8476 764.713430 417.7406 799.751195 380.2510 775.140241 394.5503 743.594394
truck 11.9392 38.05902 11.8358 37.729446 12.2376 39.010269 11.7284 37.386830 11.8460 37.761821

[1] NA

vizag mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.9101 3.364374 1.9203 3.231982 2.0087 3.163492 1.8283 3.845853 1.9734 3.011875
car 71.6483 8.074498 71.5316 7.583587 60.8985 28.689573 71.7345 5.908039 77.7871 7.153874
cycle 159.9198 15.924705 140.5522 34.657642 229.9508 21.065562 148.8974 11.441625 180.0198 15.846326
motorcycle 140.3660 117.753097 139.2610 112.056015 204.0763 154.656819 143.1538 87.370480 126.6282 162.037376
other 16.2545 2.018625 15.8418 1.947792 23.4177 2.584106 16.1069 1.385278 20.0053 1.635268
pedestrian 352.8616 116.631639 347.3305 107.754776 502.7261 158.427479 314.1907 104.481076 395.4924 122.745358
truck 176.3293 7.177332 175.4343 7.140899 190.5564 7.756434 172.6198 7.026339 180.1000 7.330815

[1] “ub”

vizag ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.3180 7.605425 4.3201 7.270889 4.9584 7.809116 4.0154 8.446570 4.5822 6.993607
car 120.2471 13.551410 119.9869 12.720696 102.0770 48.088924 120.1781 9.897841 131.0223 12.049777
cycle 213.2399 21.234285 187.3805 46.204637 307.6163 28.180424 198.6272 15.262979 239.7716 21.106008
motorcycle 164.8488 138.291760 163.4881 131.550293 241.0131 182.648987 168.1349 102.617099 148.5304 190.064126
other 33.9640 4.217934 33.0992 4.069637 48.9931 5.406315 33.6616 2.895073 41.7823 3.415365
pedestrian 418.2923 138.258473 411.7380 127.736372 597.2950 188.229610 373.2420 124.118014 467.3717 145.053884
truck 298.8339 12.163775 296.1533 12.054664 341.5495 13.902475 287.7639 11.713180 310.0454 12.620128

[1] “lb”

vizag lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0105 1.7798975 1.0173 1.7120795 1.0364 1.632203 0.9747 2.0502172 1.0364 1.5817234
car 42.7941 4.8227378 42.7468 4.5319001 36.4183 17.156845 42.9216 3.5350116 46.2941 4.2575468
cycle 119.9515 11.9446930 105.4438 26.0005245 171.9166 15.749113 111.6396 8.5786445 135.1763 11.8989534
motorcycle 119.5740 100.3107241 118.6776 95.4936257 172.8672 131.005405 121.9446 74.4259346 108.0027 138.2035511
other 7.7793 0.9661007 7.5823 0.9322677 11.1934 1.235174 7.7073 0.6628691 9.5787 0.7829786
pedestrian 301.0540 99.5076001 296.4200 91.9604599 426.5330 134.416252 267.8636 89.0754631 338.0936 104.9310333
truck 109.5964 4.4610273 109.2976 4.4488623 114.3350 4.653906 108.3534 4.4104304 110.8646 4.5126459

[1] NA

kisumu mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 59.4090 7.4739810 58.6942 7.0162820 73.4802 7.9360737 52.9256 8.5005897 61.2477 6.0273827
car 34.3764 1.9668371 34.4652 1.8705998 35.3594 3.4648749 35.5600 1.4717718 35.1109 1.6650734
cycle 90.1872 1.5734697 77.8393 3.1057776 106.5417 1.7235766 87.9182 1.4166284 87.5080 1.4004867
motorcycle 200.3160 29.8959240 198.7675 27.6744299 241.4297 31.6689437 199.0413 23.5404558 174.1996 33.6966196
other 944.2593 2.7535720 925.8979 2.7000278 912.7739 1.5539736 1218.2741 2.1151506 1067.2913 2.4107202
pedestrian 277.2985 14.9479620 274.1414 13.9442760 327.0193 16.6642379 267.7273 14.4069689 269.8459 13.3592917
truck 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674

[1] “ub”

kisumu ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 123.6949 15.561515 122.1292 14.599268 148.3883 16.026353 110.9684 17.823075 128.6676 12.662163
car 131.1102 7.501426 131.5868 7.141879 135.2995 13.258039 134.6529 5.573067 134.5031 6.378579
cycle 262.5008 4.579771 226.1369 9.022833 308.1318 4.984796 255.3935 4.115162 255.5464 4.089791
motorcycle 286.8633 42.812576 283.8814 39.524851 345.5572 45.327620 285.8627 33.808759 247.8815 47.949414
other 2192.1840 6.392668 2144.5757 6.253837 2102.7897 3.579944 2821.5105 4.898667 2487.8349 5.619341
pedestrian 446.7345 24.081525 440.0102 22.381236 521.2742 26.563071 429.7331 23.124841 437.1976 21.644390
truck 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586

[1] “lb”

kisumu lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 33.0693 4.1603004 32.7171 3.9109855 41.2076 4.4505406 29.5422 4.7448876 33.9003 3.3361221
car 10.5418 0.6031479 10.5701 0.5736913 10.8386 1.0620735 10.9577 0.4535232 10.7259 0.5086562
cycle 31.4833 0.5492803 27.2101 1.0856782 37.3188 0.6037246 30.7343 0.4952225 30.4771 0.4877579
motorcycle 144.1964 21.5204281 143.3346 19.9565043 172.9073 22.6806863 142.9758 16.9096418 126.1577 24.4035497
other 415.5895 1.2119081 408.1820 1.1903070 403.2046 0.6864453 537.0470 0.9324136 468.5415 1.0583076
pedestrian 179.2009 9.6599474 177.6130 9.0343344 211.9467 10.8003694 173.3796 9.3299222 173.9874 8.6136119
truck 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370

[1] NA

nairobi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.0330 33.436231 3.0367 32.574926 3.2802 33.720506 2.7861 33.424076 3.0477 31.575799
car 13.5455 68.839299 13.5282 67.664961 13.2193 80.361580 14.1747 59.910867 13.6693 65.410624
cycle 48.3105 9.834186 39.5457 28.944320 51.1461 9.766582 47.7106 8.261455 48.0051 9.146711
motorcycle 111.8782 158.330387 111.4199 152.941925 119.8905 157.226278 110.4597 134.131701 96.0309 242.964978
other 173.1908 8.850767 172.4274 8.698135 184.1815 8.569634 172.0222 7.325870 173.0155 8.297112
pedestrian 254.2476 449.422279 253.9526 423.914825 270.3514 450.536762 244.4709 420.813908 251.9760 419.736491
truck 2.9925 4.917093 2.9925 4.917093 2.9925 4.917093 2.9925 4.917093 2.9925 4.917093

[1] “ub”

nairobi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.0001 55.12191 5.0574 54.25126 5.3696 55.20009 4.6118 55.32522 5.0391 52.20799
car 19.5307 99.25634 19.7555 98.81271 19.0596 115.86572 20.3797 86.13697 19.7742 94.62413
cycle 92.5841 18.84661 75.7726 55.45958 97.9185 18.69798 91.4136 15.82896 92.1944 17.56637
motorcycle 141.6715 200.49399 142.9710 196.25089 151.3044 198.42293 140.0126 170.01788 121.5552 307.54319
other 344.6341 17.61223 345.9563 17.45184 365.9855 17.02864 342.1071 14.56924 344.9275 16.54131
pedestrian 301.4946 532.93873 305.2758 509.58700 319.5300 532.49208 289.6302 498.54778 300.3718 500.35321
truck 7.3194 12.02689 7.3194 12.02689 7.3194 12.02689 7.3194 12.02689 7.3194 12.02689

[1] “lb”

nairobi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.8821 20.748074 1.8799 20.166404 2.0471 21.043968 1.7224 20.662866 1.8851 19.530501
car 9.5240 48.401416 9.4879 47.456370 9.2921 56.488105 9.9846 42.200909 9.5781 45.833230
cycle 25.2595 5.141887 20.6797 15.135921 26.7642 5.110740 24.9504 4.320358 25.0497 4.772875
motorcycle 90.7630 128.448109 90.1873 123.796700 97.4180 127.755474 89.5381 108.726506 77.9304 197.169377
other 87.4793 4.470554 86.9270 4.385050 93.1145 4.332451 86.9122 3.701310 87.2265 4.183022
pedestrian 217.2614 384.043432 216.5761 361.523409 231.4867 385.769193 208.9406 359.654641 214.3969 357.138097
truck 1.2235 2.010313 1.2235 2.010313 1.2235 2.010313 1.2235 2.010313 1.2235 2.010313

[1] NA

port_louis mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.2411 0.9834186 9.7085 0.9004504 11.3301 0.8942741 8.4836 1.052411 11.7640 0.9498459
cycle 1208.0065 2.6224495 858.0834 16.7116178 1284.2339 2.2810344 1221.8061 2.170151 1327.7469 2.1399582
motorcycle 278.4834 19.9961773 275.9582 18.0040202 301.9954 18.4561011 273.7686 16.803090 249.2859 26.6666808
pedestrian 551.5156 14.4234721 524.9378 13.0252525 580.1019 14.0549064 502.0357 13.712420 594.9176 14.2797587
truck 78.5533 1.6390309 76.7902 1.6022434 79.8327 1.6657257 75.4915 1.575147 80.7469 1.6848015

[1] “ub”

port_louis ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 35.8953 3.446915 34.0828 3.161140 39.6739 3.131416 29.8754 3.706122 41.0839 3.317195
cycle 3535.3050 7.674759 2513.6456 48.954546 3794.2846 6.739343 3582.2601 6.362749 3945.3244 6.358764
motorcycle 478.8425 34.382730 473.7739 30.909879 518.1316 31.665016 470.8022 28.896420 429.4540 45.939667
pedestrian 986.5025 25.799437 941.3173 23.356855 1034.2987 25.059342 904.5130 24.705538 1059.3657 25.427869
truck 296.1450 6.179129 288.4002 6.017532 301.7051 6.295142 282.8302 5.901312 305.6283 6.376999

[1] “lb”

port_louis lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.9307 0.2814295 2.7742 0.2573084 3.2450 0.2561233 2.4173 0.2998757 3.3781 0.2727525
cycle 423.3370 0.9190181 300.3168 5.8488249 445.5821 0.7914353 427.1930 0.7587729 457.9030 0.7380121
motorcycle 164.1222 11.7846038 162.9288 10.6297752 178.2582 10.8940436 161.3923 9.9057737 146.7225 15.6952403
pedestrian 311.0402 8.1344579 295.3999 7.3297417 328.2287 7.9524357 281.1613 7.6795371 336.8995 8.0865702
truck 21.2626 0.4436483 20.8611 0.4352718 21.5571 0.4497944 20.5584 0.4289555 21.7698 0.4542312

Change in deaths due to injury per Billion km across cities

# of deaths due to injury per 100,000 people

[1] “antofagasta” [1] NA

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.51 0.50 0.46 0.59 0.48 2.54
car 3.60 3.49 3.84 3.13 3.33 17.39
cycle 0.09 0.77 0.08 0.07 0.08 1.09
motorcycle 0.86 0.79 0.82 0.79 3.96 7.22
pedestrian 1.89 1.73 1.89 1.97 1.74 9.22
truck 0.86 0.85 0.86 0.85 0.85 4.27
Total 7.81 8.13 7.95 7.40 10.44 41.73

[1] “ub”

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.70 1.65 1.53 1.94 1.59 8.41
car 10.46 10.13 11.15 9.11 9.67 50.52
cycle 0.80 7.70 0.77 0.67 0.73 10.67
motorcycle 3.35 3.10 3.22 3.07 15.20 27.94
pedestrian 6.57 6.05 6.55 6.89 6.07 32.13
truck 3.18 3.16 3.23 3.10 3.13 15.80
Total 26.06 31.79 26.45 24.78 36.39 145.47

[1] “lb”

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.15 0.14 0.18 0.15 0.78
car 1.33 1.29 1.42 1.15 1.23 6.42
cycle 0.01 0.08 0.01 0.01 0.01 0.12
motorcycle 0.24 0.22 0.23 0.22 1.09 2.00
pedestrian 0.61 0.56 0.61 0.64 0.56 2.98
truck 0.27 0.27 0.27 0.27 0.27 1.35
Total 2.62 2.57 2.68 2.47 3.31 13.65

[1] “arica” [1] NA

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.29 0.28 0.24 0.36 0.25 1.42
car 5.99 5.73 6.36 5.21 5.46 28.75
cycle 0.73 2.25 0.70 0.63 0.64 4.95
motorcycle 1.32 1.22 1.23 1.24 6.55 11.56
pedestrian 6.72 6.25 6.62 6.77 6.17 32.53
truck 1.61 1.60 1.61 1.59 1.60 8.01
Total 16.66 17.33 16.76 15.80 20.67 87.22

[1] “ub”

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.19 2.07 1.81 2.73 1.87 10.67
car 9.77 9.32 10.33 8.56 8.86 46.84
cycle 1.96 6.03 1.87 1.71 1.71 13.28
motorcycle 3.51 3.26 3.28 3.31 17.43 30.79
pedestrian 11.86 11.06 11.54 12.22 10.94 57.62
truck 3.87 3.83 3.91 3.78 3.78 19.17
Total 33.16 35.57 32.74 32.31 44.59 178.37

[1] “lb”

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.04 0.03 0.05 0.03 0.19
car 3.83 3.66 4.08 3.31 3.50 18.38
cycle 0.28 0.85 0.27 0.24 0.24 1.88
motorcycle 0.50 0.46 0.47 0.47 2.49 4.39
pedestrian 4.16 3.85 4.13 4.11 3.80 20.05
truck 0.80 0.79 0.80 0.79 0.79 3.97
Total 9.61 9.65 9.78 8.97 10.85 48.86

[1] “belo_horizonte” [1] NA

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.15 0.13 0.66
car 2.39 2.33 2.67 2.16 2.31 11.86
cycle 0.38 1.65 0.33 0.35 0.37 3.08
motorcycle 3.34 3.29 3.07 3.06 4.57 17.33
other 1.32 1.28 1.18 1.15 1.25 6.18
pedestrian 4.26 4.06 3.99 4.45 4.33 21.09
rail 0.00 0.00 0.00 0.00 0.00 0.00
truck 0.18 0.18 0.18 0.18 0.19 0.91
Total 12.00 12.92 11.54 11.50 13.15 61.11

[1] “ub”

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.22 0.21 0.20 0.25 0.21 1.09
car 2.72 2.66 3.02 2.45 2.63 13.48
cycle 0.52 2.24 0.46 0.48 0.51 4.21
motorcycle 3.78 3.76 3.47 3.47 5.17 19.65
other 1.52 1.48 1.36 1.33 1.44 7.13
pedestrian 4.78 4.62 4.47 4.99 4.87 23.73
rail 0.03 0.03 0.03 0.03 0.03 0.15
truck 0.28 0.28 0.28 0.28 0.29 1.41
Total 13.85 15.28 13.29 13.28 15.15 70.85

[1] “lb”

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.07 0.09 0.08 0.40
car 2.12 2.06 2.36 1.91 2.04 10.49
cycle 0.28 1.21 0.25 0.26 0.27 2.27
motorcycle 2.96 2.90 2.73 2.72 4.05 15.36
other 1.15 1.12 1.03 1.01 1.09 5.40
pedestrian 3.81 3.61 3.58 3.99 3.88 18.87
rail 0.00 0.00 0.00 0.00 0.00 0.00
truck 0.12 0.12 0.12 0.12 0.12 0.60
Total 10.52 11.10 10.14 10.10 11.53 53.39

[1] “bogota” [1] NA

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.15 0.12 0.65
car 0.36 0.35 0.41 0.31 0.35 1.78
cycle 1.10 1.62 1.04 0.95 1.07 5.78
motorcycle 3.42 3.35 3.31 2.90 4.13 17.11
pedestrian 2.92 2.76 2.78 2.86 2.89 14.21
truck 0.03 0.03 0.03 0.03 0.03 0.15
Total 7.96 8.24 7.69 7.20 8.59 39.68

[1] “ub”

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.23 0.22 0.22 0.26 0.22 1.15
car 0.57 0.55 0.63 0.49 0.54 2.78
cycle 1.41 2.09 1.33 1.22 1.37 7.42
motorcycle 4.32 4.25 4.17 3.67 5.26 21.67
pedestrian 3.65 3.45 3.47 3.56 3.61 17.74
truck 0.08 0.08 0.08 0.08 0.09 0.41
Total 10.26 10.64 9.90 9.28 11.09 51.17

[1] “lb”

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.07 0.07 0.08 0.07 0.36
car 0.23 0.23 0.26 0.20 0.23 1.15
cycle 0.87 1.26 0.81 0.75 0.84 4.53
motorcycle 2.73 2.67 2.64 2.31 3.28 13.63
pedestrian 2.35 2.22 2.24 2.30 2.33 11.44
truck 0.01 0.01 0.01 0.01 0.01 0.05
Total 6.26 6.46 6.03 5.65 6.76 31.16

[1] “buenos_aires” [1] NA

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.04 0.04 0.05 0.04 0.21
car 0.97 0.94 1.16 0.78 0.97 4.82
cycle 0.17 0.39 0.16 0.15 0.19 1.06
motorcycle 2.35 2.28 2.26 1.79 4.56 13.24
pedestrian 2.85 2.69 2.78 2.77 3.32 14.41
truck 0.03 0.03 0.03 0.03 0.03 0.15
Total 6.41 6.37 6.43 5.57 9.11 33.89

[1] “ub”

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.12 0.11 0.11 0.14 0.11 0.59
car 1.33 1.29 1.59 1.07 1.36 6.64
cycle 0.37 0.84 0.35 0.32 0.40 2.28
motorcycle 3.04 2.99 2.92 2.31 5.90 17.16
pedestrian 3.62 3.46 3.51 3.52 4.23 18.34
truck 0.10 0.10 0.10 0.10 0.10 0.50
Total 8.58 8.79 8.58 7.46 12.10 45.51

[1] “lb”

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.01 0.01 0.01 0.02 0.01 0.06
car 0.72 0.70 0.87 0.58 0.71 3.58
cycle 0.08 0.19 0.08 0.07 0.10 0.52
motorcycle 1.84 1.78 1.78 1.40 3.56 10.36
pedestrian 2.27 2.13 2.22 2.21 2.64 11.47
truck 0.01 0.01 0.01 0.01 0.01 0.05
Total 4.93 4.82 4.97 4.29 7.03 26.04

[1] “cali” [1] NA

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.02 0.02 0.02 0.02 0.02 0.10
car 0.70 0.68 0.81 0.63 0.66 3.48
cycle 1.82 3.29 1.69 1.58 1.75 10.13
motorcycle 9.66 9.38 9.50 8.66 10.17 47.37
other 0.02 0.02 0.01 0.01 0.02 0.08
pedestrian 5.54 5.22 5.29 5.31 5.33 26.69
Total 17.76 18.61 17.32 16.21 17.95 87.85

[1] “ub”

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.18 0.12 0.68
car 1.10 1.07 1.26 0.98 1.04 5.45
cycle 2.44 4.40 2.25 2.11 2.34 13.54
motorcycle 11.42 11.14 11.19 10.24 12.01 56.00
other 0.13 0.12 0.10 0.09 0.12 0.56
pedestrian 6.67 6.32 6.36 6.42 6.41 32.18
Total 21.89 23.18 21.28 20.02 22.04 108.41

[1] “lb”

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.00 0.00 0.00 0.00 0.00 0.00
car 0.46 0.45 0.53 0.41 0.43 2.28
cycle 1.40 2.53 1.30 1.21 1.35 7.79
motorcycle 8.28 8.01 8.15 7.40 8.72 40.56
other 0.00 0.00 0.00 0.00 0.00 0.00
pedestrian 4.65 4.37 4.44 4.44 4.49 22.39
Total 14.79 15.36 14.42 13.46 14.99 73.02

[1] “copiapo” [1] NA

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.63 0.61 0.54 0.83 0.57 3.18
car 4.60 4.45 4.78 4.07 4.32 22.22
cycle 1.05 5.26 0.99 1.01 1.20 9.51
motorcycle 2.30 2.13 2.08 2.25 12.39 21.15
pedestrian 2.30 2.15 2.21 2.49 2.64 11.79
truck 0.84 0.83 0.84 0.83 0.89 4.23
Total 11.72 15.43 11.44 11.48 22.01 72.08

[1] “ub”

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.99 1.93 1.71 2.64 1.82 10.09
car 8.67 8.35 8.91 7.80 9.40 43.13
cycle 3.36 16.84 3.12 3.28 5.16 31.76
motorcycle 6.07 5.62 5.45 6.02 32.71 55.87
pedestrian 5.98 5.56 5.63 6.61 9.62 33.40
truck 3.76 3.69 3.73 3.75 4.73 19.66
Total 29.83 41.99 28.55 30.10 63.44 193.91

[1] “lb”

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.20 0.19 0.17 0.26 0.18 1.00
car 2.86 2.77 2.98 2.52 2.64 13.77
cycle 0.35 1.76 0.33 0.33 0.35 3.12
motorcycle 0.88 0.82 0.80 0.85 4.74 8.09
pedestrian 0.98 0.91 0.95 1.04 0.96 4.84
truck 0.22 0.22 0.22 0.22 0.23 1.11
Total 5.49 6.67 5.45 5.22 9.10 31.93

[1] “coquimbo_laserena” [1] NA

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.43 0.42 0.39 0.51 0.40 2.15
car 4.39 4.24 4.60 3.92 4.02 21.17
cycle 0.43 1.96 0.40 0.39 0.39 3.57
motorcycle 1.80 1.74 1.69 1.54 11.04 17.81
pedestrian 3.02 2.80 2.95 2.97 2.74 14.48
truck 0.29 0.29 0.29 0.29 0.29 1.45
Total 10.36 11.45 10.32 9.62 18.88 60.63

[1] “ub”

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.39 1.35 1.27 1.62 1.28 6.91
car 6.69 6.46 7.00 6.00 6.12 32.27
cycle 1.05 4.76 0.97 0.95 0.95 8.68
motorcycle 3.39 3.28 3.16 2.93 20.85 33.61
pedestrian 4.78 4.44 4.64 4.76 4.35 22.97
truck 0.78 0.78 0.78 0.78 0.78 3.90
Total 18.08 21.07 17.82 17.04 34.33 108.34

[1] “lb”

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.14 0.13 0.16 0.13 0.70
car 2.95 2.85 3.10 2.62 2.71 14.23
cycle 0.18 0.81 0.17 0.16 0.16 1.48
motorcycle 0.97 0.93 0.91 0.82 5.91 9.54
pedestrian 1.95 1.80 1.91 1.89 1.76 9.31
truck 0.11 0.11 0.11 0.11 0.11 0.55
Total 6.30 6.64 6.33 5.76 10.78 35.81

[1] “gran_valparaiso” [1] NA

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.06 0.06 0.07 0.06 0.32
car 2.13 2.09 2.30 1.89 2.01 10.42
cycle 0.07 0.32 0.06 0.06 0.06 0.57
motorcycle 0.86 0.85 0.75 0.67 5.17 8.30
other 0.03 0.03 0.03 0.03 0.03 0.15
pedestrian 2.69 2.57 2.65 2.72 2.54 13.17
truck 0.40 0.40 0.40 0.40 0.40 2.00
Total 6.25 6.32 6.25 5.84 10.27 34.93

[1] “ub”

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.50 0.50 0.46 0.56 0.48 2.50
car 3.32 3.54 3.55 2.92 3.51 16.84
cycle 0.29 1.38 0.27 0.24 0.28 2.46
motorcycle 1.60 1.65 1.38 1.25 9.57 15.45
other 0.26 0.26 0.24 0.23 0.24 1.23
pedestrian 4.28 4.49 4.14 4.35 4.63 21.89
truck 0.71 0.71 0.71 0.71 0.71 3.55
Total 10.96 12.53 10.75 10.26 19.42 63.92

[1] “lb”

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.01 0.01 0.01 0.01 0.01 0.05
car 1.45 1.40 1.57 1.28 1.34 7.04
cycle 0.02 0.08 0.02 0.01 0.01 0.14
motorcycle 0.48 0.46 0.42 0.37 2.84 4.57
other 0.00 0.00 0.00 0.00 0.00 0.00
pedestrian 1.88 1.75 1.87 1.88 1.72 9.10
truck 0.22 0.22 0.22 0.22 0.22 1.10
Total 4.06 3.92 4.11 3.77 6.14 22.00

[1] “iquique_altohospicio” [1] NA

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.32 0.38 0.29 0.37 0.32 1.68
car 3.41 3.57 3.56 3.05 3.29 16.88
cycle 0.32 3.10 0.29 0.30 0.34 4.35
motorcycle 1.17 1.24 1.07 1.10 6.69 11.27
pedestrian 2.03 2.34 1.96 2.13 2.13 10.59
truck 0.53 0.53 0.53 0.53 0.53 2.65
Total 7.78 11.16 7.70 7.48 13.30 47.42

[1] “ub”

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.25 1.97 1.11 1.47 1.53 7.33
car 6.31 8.35 6.51 5.66 7.03 33.86
cycle 1.23 11.90 1.09 1.15 1.56 16.93
motorcycle 3.09 4.01 2.80 2.91 17.57 30.38
pedestrian 4.86 7.91 4.61 5.17 6.48 29.03
truck 1.30 1.30 1.30 1.30 1.30 6.50
Total 18.04 35.44 17.42 17.66 35.47 124.03

[1] “lb”

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.09 0.09 0.08 0.10 0.08 0.44
car 2.09 2.05 2.18 1.86 1.94 10.12
cycle 0.09 0.84 0.08 0.08 0.08 1.17
motorcycle 0.47 0.46 0.42 0.44 2.66 4.45
pedestrian 0.96 0.95 0.94 0.99 0.92 4.76
truck 0.22 0.22 0.22 0.22 0.22 1.10
Total 3.92 4.61 3.92 3.69 5.90 22.04

[1] “medellin” [1] NA

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.01 0.01 0.01 0.01 0.01 0.05
bus 0.15 0.15 0.14 0.19 0.14 0.77
car 0.24 0.24 0.32 0.21 0.23 1.24
cycle 0.55 2.16 0.51 0.46 0.53 4.21
motorcycle 6.92 6.84 6.95 6.33 7.72 34.76
pedestrian 4.15 3.93 4.13 4.18 4.08 20.47
truck 0.06 0.06 0.06 0.06 0.06 0.30
Total 12.08 13.39 12.12 11.44 12.77 61.80

[1] “ub”

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.08 0.08 0.06 0.06 0.08 0.36
bus 0.32 0.31 0.30 0.40 0.30 1.63
car 0.43 0.42 0.56 0.38 0.41 2.20
cycle 0.82 3.22 0.76 0.68 0.79 6.27
motorcycle 8.00 8.02 8.02 7.31 8.91 40.26
pedestrian 4.93 4.75 4.91 4.97 4.84 24.40
truck 0.20 0.20 0.20 0.19 0.20 0.99
Total 14.78 17.00 14.81 13.99 15.53 76.11

[1] “lb”

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.00 0.00 0.00 0.00 0.00 0.00
bus 0.08 0.08 0.08 0.10 0.08 0.42
car 0.15 0.14 0.19 0.13 0.14 0.75
cycle 0.37 1.45 0.35 0.31 0.36 2.84
motorcycle 6.03 5.92 6.05 5.51 6.72 30.23
pedestrian 3.51 3.30 3.50 3.53 3.46 17.30
truck 0.02 0.02 0.02 0.02 0.02 0.10
Total 10.16 10.91 10.19 9.60 10.78 51.64

[1] “mexico_city” [1] NA

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.16 0.15 0.19 0.16 0.82
car 4.19 4.13 4.61 3.64 4.62 21.19
cycle 0.47 1.95 0.43 0.41 0.59 3.85
motorcycle 1.49 1.48 1.41 1.26 4.04 9.68
other 0.71 0.69 0.68 0.61 0.94 3.63
pedestrian 7.30 7.06 6.96 7.30 9.82 38.44
truck 0.14 0.14 0.14 0.14 0.14 0.70
Total 14.46 15.61 14.38 13.55 20.31 78.31

[1] “ub”

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.39 0.39 0.37 0.44 0.43 2.02
car 5.00 4.97 5.50 4.34 5.60 25.41
cycle 0.78 3.24 0.72 0.69 0.96 6.39
motorcycle 2.03 2.05 1.91 1.72 5.50 13.21
other 1.07 1.06 1.03 0.92 1.40 5.48
pedestrian 8.67 8.59 8.25 8.68 11.65 45.84
truck 0.26 0.26 0.26 0.26 0.26 1.30
Total 18.20 20.56 18.04 17.05 25.80 99.65

[1] “lb”

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.07 0.09 0.08 0.40
car 3.53 3.46 3.90 3.07 3.85 17.81
cycle 0.29 1.21 0.27 0.25 0.37 2.39
motorcycle 1.10 1.09 1.05 0.93 2.99 7.16
other 0.49 0.47 0.47 0.42 0.66 2.51
pedestrian 6.20 5.91 5.92 6.19 8.33 32.55
truck 0.07 0.07 0.07 0.07 0.07 0.35
Total 11.76 12.29 11.75 11.02 16.35 63.17

[1] “montevideo” [1] NA

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 1.43 1.38 1.63 1.21 1.36 7.01
cycle 0.45 1.49 0.44 0.40 0.43 3.21
motorcycle 4.74 4.50 4.64 3.73 7.06 24.67
pedestrian 1.92 1.77 1.86 1.88 1.86 9.29
truck 0.10 0.10 0.10 0.10 0.10 0.50
Total 8.67 9.27 8.70 7.36 10.84 44.84

[1] “ub”

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.23 0.30 0.24 1.28
car 2.41 2.32 2.74 2.03 2.30 11.80
cycle 1.06 3.49 1.01 0.94 1.01 7.51
motorcycle 6.76 6.40 6.56 5.36 10.06 35.14
pedestrian 2.99 2.76 2.87 2.94 2.95 14.51
truck 0.33 0.33 0.33 0.33 0.33 1.65
Total 13.81 15.55 13.74 11.90 16.89 71.89

[1] “lb”

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.00 0.00 0.00 0.01 0.00 0.01
car 0.87 0.84 1.00 0.74 0.82 4.27
cycle 0.20 0.67 0.20 0.18 0.19 1.44
motorcycle 3.42 3.25 3.37 2.68 5.09 17.81
pedestrian 1.27 1.18 1.25 1.25 1.22 6.17
truck 0.03 0.03 0.03 0.03 0.03 0.15
Total 5.79 5.97 5.85 4.89 7.35 29.85

[1] “osorno” [1] NA

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 6.73 6.49 7.10 6.03 6.20 32.55
cycle 0.20 0.65 0.18 0.17 0.18 1.38
motorcycle 0.99 0.92 0.94 0.93 5.36 9.14
pedestrian 4.95 4.61 4.81 5.10 4.52 23.99
truck 1.39 1.39 1.39 1.39 1.39 6.95
Total 14.26 14.06 14.42 13.62 17.65 74.01

[1] “ub”

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 11.84 11.40 12.47 10.66 10.87 57.24
cycle 1.57 5.13 1.44 1.37 1.43 10.94
motorcycle 3.76 3.49 3.55 3.53 20.38 34.71
pedestrian 9.65 8.99 9.34 10.06 8.84 46.88
truck 2.95 2.95 2.95 2.95 2.95 14.75
Total 29.77 31.96 29.75 28.57 44.47 164.52

[1] “lb”

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 4.00 3.86 4.22 3.57 3.69 19.34
cycle 0.02 0.08 0.02 0.02 0.02 0.16
motorcycle 0.26 0.24 0.25 0.25 1.42 2.42
pedestrian 2.60 2.42 2.54 2.65 2.37 12.58
truck 0.65 0.65 0.65 0.65 0.65 3.25
Total 7.53 7.25 7.68 7.14 8.15 37.75

[1] “puerto_montt” [1] NA

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.24 0.28 0.23 1.26
car 3.85 3.73 4.01 3.53 3.61 18.73
cycle 0.26 2.38 0.23 0.24 0.25 3.36
motorcycle 0.51 0.48 0.48 0.46 5.73 7.66
pedestrian 7.57 7.03 7.25 7.80 6.99 36.64
truck 0.90 0.90 0.90 0.90 0.90 4.50
Total 13.35 14.77 13.11 13.21 17.71 72.15

[1] “ub”

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.92 1.87 1.77 2.11 1.76 9.43
car 6.80 6.59 7.06 6.25 6.37 33.07
cycle 1.11 10.36 0.98 1.05 1.07 14.57
motorcycle 2.25 2.11 2.09 2.05 25.33 33.83
pedestrian 12.73 11.85 12.11 13.27 11.81 61.77
truck 1.91 1.91 1.91 1.91 1.91 9.55
Total 26.72 34.69 25.92 26.64 48.25 162.22

[1] “lb”

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 2.25 2.18 2.35 2.06 2.12 10.96
cycle 0.06 0.55 0.05 0.06 0.06 0.78
motorcycle 0.13 0.12 0.12 0.12 1.46 1.95
pedestrian 4.82 4.47 4.65 4.92 4.45 23.31
truck 0.42 0.42 0.42 0.42 0.42 2.10
Total 7.71 7.77 7.62 7.62 8.54 39.26

[1] “san_antonio” [1] NA

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 5.19 4.98 4.94 4.83 5.32 25.26
cycle 0.41 3.39 0.36 0.39 0.47 5.02
motorcycle 0.34 0.32 0.26 0.32 1.85 3.09
other 0.41 0.39 0.14 0.34 0.45 1.73
pedestrian 4.40 4.16 3.84 5.11 4.81 22.32
truck 2.06 2.06 2.06 2.06 2.06 10.30
Total 12.81 15.30 11.60 13.05 14.96 67.72

[1] “ub”

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 31.09 29.70 29.03 28.77 36.80 155.39
cycle 6.01 48.88 5.01 5.64 7.64 73.18
motorcycle 4.05 3.79 3.10 3.82 23.79 38.55
other 5.05 4.89 2.12 4.14 6.08 22.28
pedestrian 29.37 27.77 25.34 33.98 36.92 153.38
truck 10.36 10.36 10.36 10.36 10.36 51.80
Total 85.93 125.39 74.96 86.71 121.59 494.58

[1] “lb”

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 0.97 0.93 0.93 0.90 0.91 4.64
cycle 0.03 0.25 0.03 0.03 0.03 0.37
motorcycle 0.03 0.03 0.02 0.03 0.15 0.26
other 0.04 0.04 0.01 0.03 0.04 0.16
pedestrian 0.77 0.73 0.68 0.90 0.77 3.85
truck 0.43 0.43 0.43 0.43 0.43 2.15
Total 2.27 2.41 2.10 2.32 2.33 11.43

[1] “santiago” [1] NA

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.13 0.13 0.15 0.13 0.68
car 1.84 1.78 2.09 1.63 1.76 9.10
cycle 0.73 1.59 0.68 0.64 0.69 4.33
motorcycle 1.11 1.08 1.09 0.95 2.55 6.78
other 0.06 0.06 0.06 0.06 0.06 0.30
pedestrian 3.13 2.94 3.08 3.24 2.99 15.38
truck 0.19 0.19 0.20 0.19 0.19 0.96
Total 7.20 7.77 7.33 6.86 8.37 37.53

[1] “ub”

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.26 0.25 0.29 0.25 1.31
car 2.24 2.18 2.54 1.99 2.16 11.11
cycle 0.99 2.16 0.92 0.87 0.94 5.88
motorcycle 1.44 1.41 1.41 1.23 3.31 8.80
other 0.13 0.12 0.13 0.12 0.12 0.62
pedestrian 3.80 3.61 3.73 3.94 3.68 18.76
truck 0.34 0.34 0.35 0.34 0.34 1.71
Total 9.20 10.08 9.33 8.78 10.80 48.19

[1] “lb”

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.07 0.07 0.08 0.07 0.36
car 1.53 1.48 1.74 1.36 1.46 7.57
cycle 0.55 1.19 0.51 0.48 0.51 3.24
motorcycle 0.86 0.84 0.85 0.74 1.98 5.27
other 0.03 0.03 0.03 0.03 0.03 0.15
pedestrian 2.63 2.47 2.60 2.73 2.49 12.92
truck 0.11 0.11 0.11 0.11 0.11 0.55
Total 5.78 6.19 5.91 5.53 6.65 30.06

[1] “sao_paulo” [1] NA

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.12 0.11 0.11 0.13 0.12 0.59
car 1.98 1.92 2.30 1.69 2.01 9.90
cycle 0.45 2.66 0.42 0.40 0.49 4.42
motorcycle 5.11 4.95 4.85 4.12 11.54 30.57
other 0.02 0.02 0.02 0.01 0.02 0.09
pedestrian 4.71 4.44 4.60 4.68 5.27 23.70
truck 0.18 0.17 0.18 0.17 0.19 0.89
Total 12.57 14.27 12.48 11.20 19.64 70.16

[1] “ub”

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.18 0.17 0.17 0.20 0.18 0.90
car 2.20 2.13 2.54 1.87 2.24 10.98
cycle 0.56 3.29 0.51 0.49 0.61 5.46
motorcycle 5.51 5.37 5.22 4.45 12.44 32.99
other 0.04 0.03 0.04 0.03 0.04 0.18
pedestrian 5.12 4.87 4.99 5.09 5.75 25.82
truck 0.25 0.24 0.25 0.24 0.26 1.24
Total 13.86 16.10 13.72 12.37 21.52 77.57

[1] “lb”

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.07 0.07 0.09 0.08 0.39
car 1.80 1.73 2.08 1.53 1.81 8.95
cycle 0.37 2.15 0.34 0.32 0.40 3.58
motorcycle 4.75 4.59 4.51 3.83 10.72 28.40
other 0.01 0.01 0.01 0.01 0.01 0.05
pedestrian 4.35 4.09 4.25 4.32 4.84 21.85
truck 0.13 0.13 0.13 0.12 0.13 0.64
Total 11.49 12.77 11.39 10.22 17.99 63.86

[1] “temuco_padrelascasas” [1] NA

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 3.08 2.98 3.33 2.59 2.85 14.83
cycle 0.79 1.39 0.74 0.66 0.73 4.31
motorcycle 0.70 0.67 0.67 0.57 2.87 5.48
pedestrian 3.52 3.25 3.52 3.65 3.26 17.20
truck 0.18 0.18 0.18 0.18 0.18 0.90
Total 8.27 8.47 8.44 7.65 9.89 42.72

[1] “ub”

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 10.21 9.86 11.03 8.62 9.44 49.16
cycle 2.55 4.54 2.36 2.13 2.33 13.91
motorcycle 2.90 2.77 2.75 2.33 12.38 23.13
pedestrian 10.76 9.96 10.64 11.27 9.98 52.61
truck 1.04 1.04 1.04 1.04 1.04 5.20
Total 27.46 28.17 27.82 25.39 35.17 144.01

[1] “lb”

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 0.99 0.95 1.07 0.83 0.91 4.75
cycle 0.26 0.45 0.24 0.21 0.24 1.40
motorcycle 0.18 0.17 0.17 0.15 0.70 1.37
pedestrian 1.27 1.17 1.28 1.31 1.17 6.20
truck 0.03 0.03 0.03 0.03 0.03 0.15
Total 2.73 2.77 2.79 2.53 3.05 13.87

[1] “valdivia” [1] NA

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.36 0.34 0.31 0.43 0.33 1.77
car 2.75 2.65 2.87 2.40 2.53 13.20
cycle 0.81 1.60 0.73 0.74 0.74 4.62
motorcycle 0.57 0.52 0.54 0.55 2.23 4.41
pedestrian 2.01 1.89 1.83 2.27 1.89 9.89
Total 6.50 7.00 6.28 6.39 7.72 33.89

[1] “ub”

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.81 2.68 2.40 3.48 2.56 13.93
car 16.28 15.64 16.84 14.21 14.99 77.96
cycle 6.16 12.80 5.58 5.66 5.68 35.88
motorcycle 5.27 4.73 5.05 5.03 22.83 42.91
pedestrian 10.50 9.82 9.57 11.75 9.84 51.48
Total 41.02 45.67 39.44 40.13 55.90 222.16

[1] “lb”

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.06 0.05 0.05 0.07 0.05 0.28
car 0.53 0.51 0.55 0.46 0.48 2.53
cycle 0.12 0.23 0.11 0.11 0.11 0.68
motorcycle 0.08 0.07 0.07 0.07 0.27 0.56
pedestrian 0.41 0.39 0.38 0.47 0.39 2.04
Total 1.20 1.25 1.16 1.18 1.30 6.09

[1] “accra” [1] NA

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.90 0.88 0.88 0.96 0.87 4.49
car 1.95 1.88 2.24 1.50 1.94 9.51
cycle 0.72 3.49 0.70 0.52 0.71 6.14
motorcycle 2.02 1.99 1.93 1.41 4.99 12.34
pedestrian 9.84 9.13 9.86 8.66 9.82 47.31
truck 0.43 0.43 0.43 0.42 0.43 2.14
Total 15.86 17.80 16.04 13.47 18.76 81.93

[1] “ub”

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.30 1.28 1.26 1.37 1.25 6.46
car 2.54 2.49 2.92 1.95 2.55 12.45
cycle 0.98 4.76 0.95 0.71 0.97 8.37
motorcycle 2.61 2.61 2.48 1.82 6.45 15.97
pedestrian 11.45 10.87 11.40 10.11 11.58 55.41
truck 0.71 0.71 0.72 0.69 0.72 3.55
Total 19.59 22.72 19.73 16.65 23.52 102.21

[1] “lb”

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.63 0.61 0.61 0.67 0.60 3.12
car 1.51 1.45 1.73 1.16 1.49 7.34
cycle 0.53 2.57 0.52 0.38 0.51 4.51
motorcycle 1.58 1.55 1.51 1.09 3.89 9.62
pedestrian 8.59 7.94 8.64 7.54 8.46 41.17
truck 0.27 0.27 0.27 0.27 0.27 1.35
Total 13.11 14.39 13.28 11.11 15.22 67.11

[1] “bangalore” [1] NA

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.25 0.24 0.24 0.29 0.21 1.23
car 0.51 0.50 0.85 0.46 0.44 2.76
cycle 0.39 0.86 0.41 0.35 0.33 2.34
motorcycle 6.14 5.94 6.80 5.59 6.26 30.73
other 0.25 0.23 0.26 0.22 0.21 1.17
pedestrian 6.06 5.71 6.69 6.27 5.55 30.28
truck 0.20 0.20 0.20 0.20 0.20 1.00
Total 13.80 13.68 15.45 13.38 13.20 69.51

[1] “ub”

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.56 0.54 0.56 0.65 0.48 2.79
car 0.92 0.90 1.52 0.82 0.78 4.94
cycle 0.63 1.40 0.67 0.57 0.54 3.81
motorcycle 7.61 7.44 8.38 6.94 7.76 38.13
other 0.56 0.54 0.59 0.51 0.49 2.69
pedestrian 7.45 7.09 8.21 7.72 6.82 37.29
truck 0.39 0.39 0.39 0.39 0.39 1.95
Total 18.12 18.30 20.32 17.60 17.26 91.60

[1] “lb”

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.11 0.11 0.11 0.14 0.10 0.57
car 0.29 0.28 0.48 0.26 0.25 1.56
cycle 0.24 0.53 0.25 0.22 0.21 1.45
motorcycle 5.01 4.84 5.57 4.56 5.11 25.09
other 0.12 0.11 0.12 0.10 0.10 0.55
pedestrian 4.98 4.68 5.50 5.15 4.56 24.87
truck 0.11 0.11 0.11 0.11 0.11 0.55
Total 10.86 10.66 12.14 10.54 10.44 54.64

[1] “cape_town” [1] NA

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.76 0.76 0.75 0.82 0.75 3.84
car 7.03 7.03 7.68 6.23 7.19 35.16
cycle 0.29 3.90 0.26 0.26 0.29 5.00
motorcycle 1.78 1.78 1.66 1.61 13.07 19.90
other 0.08 0.07 0.07 0.07 0.08 0.37
pedestrian 12.39 12.06 12.14 11.45 12.41 60.45
truck 0.23 0.24 0.25 0.22 0.25 1.19
Total 22.56 25.84 22.81 20.66 34.04 125.91

[1] “ub”

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.00 1.02 0.98 1.09 1.00 5.09
car 7.81 8.01 8.51 6.93 8.16 39.42
cycle 0.40 5.45 0.36 0.37 0.41 6.99
motorcycle 2.12 2.17 1.98 1.93 15.62 23.82
other 0.14 0.14 0.13 0.13 0.15 0.69
pedestrian 13.50 13.51 13.17 12.52 13.86 66.56
truck 0.39 0.40 0.41 0.36 0.41 1.97
Total 25.36 30.70 25.54 23.33 39.61 144.54

[1] “lb”

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.58 0.57 0.57 0.62 0.57 2.91
car 6.36 6.28 6.95 5.63 6.39 31.61
cycle 0.21 2.79 0.19 0.19 0.20 3.58
motorcycle 1.51 1.49 1.42 1.36 11.09 16.87
other 0.04 0.04 0.04 0.04 0.04 0.20
pedestrian 11.43 10.97 11.24 10.52 11.21 55.37
truck 0.16 0.16 0.17 0.15 0.16 0.80
Total 20.29 22.30 20.58 18.51 29.66 111.34

[1] “delhi” [1] NA

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.06 0.06 0.06 0.08 0.06 0.32
car 1.05 1.03 1.20 0.94 0.95 5.17
cycle 0.86 1.53 0.82 0.74 0.77 4.72
motorcycle 6.43 6.13 6.35 5.52 7.71 32.14
pedestrian 7.37 6.98 7.29 7.08 6.80 35.52
truck 0.42 0.42 0.43 0.41 0.42 2.10
Total 16.19 16.15 16.15 14.77 16.71 79.97

[1] “ub”

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.12 0.12 0.15 0.11 0.63
car 1.24 1.22 1.42 1.12 1.13 6.13
cycle 1.00 1.77 0.94 0.86 0.89 5.46
motorcycle 6.96 6.64 6.87 5.99 8.35 34.81
pedestrian 7.96 7.54 7.87 7.66 7.36 38.39
truck 0.55 0.55 0.57 0.54 0.55 2.76
Total 17.84 17.84 17.79 16.32 18.39 88.18

[1] “lb”

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 0.88 0.87 1.01 0.79 0.80 4.35
cycle 0.75 1.33 0.71 0.64 0.67 4.10
motorcycle 5.94 5.66 5.87 5.09 7.12 29.68
pedestrian 6.83 6.48 6.78 6.57 6.30 32.96
truck 0.32 0.32 0.33 0.32 0.32 1.61
Total 14.75 14.69 14.73 13.45 15.24 72.86

[1] “vizag” [1] NA

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.25 0.30 0.23 1.29
car 0.63 0.59 2.23 0.46 0.56 4.47
cycle 1.24 2.69 1.64 0.89 1.23 7.69
motorcycle 9.15 8.70 12.01 6.79 12.59 49.24
other 0.16 0.15 0.20 0.11 0.13 0.75
pedestrian 9.06 8.37 12.31 8.12 9.53 47.39
truck 0.56 0.55 0.60 0.55 0.57 2.83
Total 21.06 21.30 29.24 17.22 24.84 113.66

[1] “ub”

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.59 0.56 0.61 0.66 0.54 2.96
car 1.05 0.99 3.74 0.77 0.94 7.49
cycle 1.65 3.59 2.19 1.19 1.64 10.26
motorcycle 10.74 10.22 14.19 7.97 14.76 57.88
other 0.33 0.32 0.42 0.22 0.27 1.56
pedestrian 10.74 9.92 14.62 9.64 11.27 56.19
truck 0.94 0.94 1.08 0.91 0.98 4.85
Total 26.04 26.54 36.85 21.36 30.40 141.19

[1] “lb”

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.13 0.13 0.16 0.12 0.68
car 0.37 0.35 1.33 0.27 0.33 2.65
cycle 0.93 2.02 1.22 0.67 0.92 5.76
motorcycle 7.79 7.42 10.18 5.78 10.74 41.91
other 0.08 0.07 0.10 0.05 0.06 0.36
pedestrian 7.73 7.14 10.44 6.92 8.15 40.38
truck 0.35 0.35 0.36 0.34 0.35 1.75
Total 17.39 17.48 23.76 14.19 20.67 93.49

[1] “kisumu” [1] NA

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 3.28 3.08 3.48 3.73 2.65 16.22
car 0.86 0.82 1.52 0.65 0.73 4.58
cycle 0.69 1.36 0.76 0.62 0.61 4.04
motorcycle 13.12 12.15 13.90 10.33 14.79 64.29
other 1.21 1.19 0.68 0.93 1.06 5.07
pedestrian 6.56 6.12 7.31 6.32 5.86 32.17
truck 0.17 0.17 0.17 0.17 0.17 0.85
Total 25.89 24.89 27.82 22.75 25.87 127.22

[1] “ub”

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 6.83 6.41 7.03 7.82 5.56 33.65
car 3.29 3.13 5.82 2.45 2.80 17.49
cycle 2.01 3.96 2.19 1.81 1.80 11.77
motorcycle 18.79 17.35 19.90 14.84 21.05 91.93
other 2.81 2.75 1.57 2.15 2.47 11.75
pedestrian 10.57 9.82 11.66 10.15 9.50 51.70
truck 1.28 1.28 1.28 1.28 1.28 6.40
Total 45.58 44.70 49.45 40.50 44.46 224.69

[1] “lb”

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.83 1.72 1.95 2.08 1.46 9.04
car 0.26 0.25 0.47 0.20 0.22 1.40
cycle 0.24 0.48 0.26 0.22 0.21 1.41
motorcycle 9.45 8.76 9.96 7.42 10.71 46.30
other 0.53 0.52 0.30 0.41 0.46 2.22
pedestrian 4.24 3.97 4.74 4.10 3.78 20.83
truck 0.02 0.02 0.02 0.02 0.02 0.10
Total 16.57 15.72 17.70 14.45 16.86 81.30

[1] “nairobi” [1] NA

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.03 1.00 1.04 1.03 0.97 5.07
car 2.12 2.09 2.48 1.85 2.02 10.56
cycle 0.30 0.89 0.30 0.25 0.28 2.02
motorcycle 4.88 4.71 4.85 4.13 7.49 26.06
other 0.27 0.27 0.26 0.23 0.26 1.29
pedestrian 13.85 13.07 13.89 12.97 12.94 66.72
truck 0.15 0.15 0.15 0.15 0.15 0.75
Total 22.60 22.18 22.97 20.61 24.11 112.47

[1] “ub”

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.70 1.67 1.70 1.71 1.61 8.39
car 3.06 3.05 3.57 2.66 2.92 15.26
cycle 0.58 1.71 0.58 0.49 0.54 3.90
motorcycle 6.18 6.05 6.12 5.24 9.48 33.07
other 0.54 0.54 0.52 0.45 0.51 2.56
pedestrian 16.43 15.71 16.41 15.37 15.42 79.34
truck 0.37 0.37 0.37 0.37 0.37 1.85
Total 28.86 29.10 29.27 26.29 30.85 144.37

[1] “lb”

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.64 0.62 0.65 0.64 0.60 3.15
car 1.49 1.46 1.74 1.30 1.41 7.40
cycle 0.16 0.47 0.16 0.13 0.15 1.07
motorcycle 3.96 3.82 3.94 3.35 6.08 21.15
other 0.14 0.14 0.13 0.11 0.13 0.65
pedestrian 11.84 11.14 11.89 11.09 11.01 56.97
truck 0.06 0.06 0.06 0.06 0.06 0.30
Total 18.29 17.71 18.57 16.68 19.44 90.69

[1] “port_louis” [1] NA

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.89 0.82 0.81 0.95 0.86 4.33
cycle 2.37 15.13 2.06 1.96 1.94 23.46
motorcycle 18.10 16.30 16.71 15.21 24.14 90.46
pedestrian 13.06 11.79 12.72 12.41 12.92 62.90
truck 1.48 1.45 1.51 1.43 1.52 7.39
Total 35.90 45.49 33.81 31.96 41.38 188.54

[1] “ub”

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 3.12 2.86 2.83 3.35 3.00 15.16
cycle 6.95 44.31 6.10 5.76 5.76 68.88
motorcycle 31.12 27.98 28.66 26.15 41.58 155.49
pedestrian 23.35 21.14 22.68 22.36 23.02 112.55
truck 5.59 5.45 5.70 5.34 5.77 27.85
Total 70.13 101.74 65.97 62.96 79.13 379.93

[1] “lb”

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.25 0.23 0.23 0.27 0.25 1.23
cycle 0.83 5.29 0.72 0.69 0.67 8.20
motorcycle 10.67 9.62 9.86 8.97 14.21 53.33
pedestrian 7.36 6.63 7.20 6.95 7.32 35.46
truck 0.40 0.39 0.41 0.39 0.41 2.00
Total 19.51 22.16 18.42 17.27 22.86 100.22

True distances in a single file

Change in deaths due to injury per 100 million hours

[1] NA

antofagasta mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 17.3949 5.0397959 17.0459 4.628798 18.3903 5.0443569 16.3942 5.2751424 16.6019 4.6379445
car 18.0977 9.6214286 18.1301 9.326163 16.8767 10.2700814 18.5788 8.3556704 18.2362 8.9139517
cycle 44.6070 0.2290816 20.7840 2.050156 46.4458 0.2198768 41.3525 0.1919912 41.7780 0.2084534
motorcycle 64.7751 2.2908163 64.0357 2.116976 67.9352 2.1999485 62.9735 2.1155867 84.2587 10.5725083
truck 9.2946 2.2908163 9.2683 2.284347 9.3518 2.3049236 9.1969 2.2667411 9.2353 2.2762111
bus 2.5825 1.3744898 2.5896 1.331324 2.6426 1.2318724 2.5276 1.5703302 2.6339 1.2852259

[1] “ub”

antofagasta ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 60.6215 17.563730 59.5457 16.169634 63.8054 17.501498 57.2586 18.424069 58.0411 16.214517
car 52.6003 27.964271 52.6145 27.065013 48.9564 29.791653 54.1372 24.347755 52.8981 25.856843
cycle 415.3154 2.132873 208.5329 20.569883 433.5607 2.052498 385.6944 1.790702 389.9040 1.945445
motorcycle 252.9739 8.946600 250.9327 8.295659 265.9025 8.610739 244.5564 8.215838 323.7987 40.629205
truck 34.5167 8.507286 34.2528 8.442252 35.0573 8.640533 33.5783 8.276001 33.9244 8.361309
bus 8.5482 4.549664 8.5788 4.410376 8.7503 4.078953 8.3641 5.196341 8.7143 4.252246

[1] “lb”

antofagasta lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 5.6326 1.6319123 5.5099 1.4962116 5.9862 1.6419735 5.2885 1.7016649 5.3616 1.4978403
car 6.6819 3.5523456 6.7017 3.4473688 6.2409 3.7977964 6.8431 3.0776449 6.7421 3.2955622
cycle 4.8838 0.0250812 2.1536 0.2124290 5.0765 0.0240322 4.5210 0.0209899 4.5660 0.0227825
motorcycle 17.9134 0.6335193 17.6712 0.5841992 18.7891 0.6084477 17.4532 0.5863363 23.1897 2.9097674
truck 2.9136 0.7181110 2.9108 0.7174205 2.9200 0.7196949 2.9028 0.7154435 2.9072 0.7165445
bus 0.7978 0.4246296 0.7994 0.4109473 0.8160 0.3803675 0.7804 0.4848097 0.8141 0.3972693

[1] NA

arica mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 42.6358 10.5377551 41.7257 9.7930743 44.2826 10.3712602 39.2219 10.6071792 40.1512 9.6651348
car 32.9255 9.3923469 33.2139 8.9745179 29.0722 9.9726964 34.0661 8.1702794 33.1253 8.5574484
cycle 46.4285 1.1454082 37.1044 3.5279830 48.3847 1.1030689 44.3687 0.9883559 44.1621 0.9997114
motorcycle 74.9652 2.0617347 74.7369 1.9184218 77.5343 1.9297619 72.1057 1.9413611 112.7985 10.2611963
truck 17.6724 2.5198980 17.6103 2.5110386 17.7387 2.5293405 17.5305 2.4996541 17.5423 2.5013479
bus 2.8554 0.4581633 2.8357 0.4312669 3.0387 0.3785155 2.5369 0.5704910 2.8407 0.3900131

[1] “ub”

arica ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 75.2042 18.587264 73.8740 17.338292 77.2177 18.084861 70.8419 19.158504 71.2392 17.148577
car 53.6847 15.314118 54.0840 14.613706 47.1791 16.183965 55.9742 13.424635 53.7755 13.892146
cycle 124.3076 3.066712 99.4321 9.454270 128.8287 2.937023 120.1335 2.676087 118.3118 2.678259
motorcycle 200.1722 5.505245 199.3612 5.117406 206.8103 5.147329 192.8470 5.192175 300.3760 27.324969
truck 42.5480 6.066891 42.0782 5.999894 43.0087 6.132578 41.5461 5.924019 41.5538 5.925117
bus 21.4407 3.440297 21.2950 3.238663 22.8181 2.842341 19.0511 4.284148 21.3312 2.928691

[1] “lb”

arica lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 26.3628 6.5157494 25.7428 6.0418635 27.6173 6.4681370 23.8177 6.4412771 24.7528 5.9584531
car 21.0241 5.9973277 21.2264 5.7354684 18.6210 6.3876152 21.6415 5.1904007 21.2122 5.4798636
cycle 17.5138 0.4320718 13.9844 1.3296723 18.3392 0.4180963 16.5723 0.3691648 16.6463 0.3768270
motorcycle 28.4145 0.7814724 28.3563 0.7278789 29.4014 0.7317757 27.3186 0.7355195 42.8629 3.8992023
truck 8.7460 1.2470910 8.7378 1.2459167 8.7554 1.2484315 8.7261 1.2442489 8.7290 1.2446553
bus 0.3807 0.0610821 0.3780 0.0574913 0.4051 0.0504615 0.3382 0.0760520 0.3787 0.0519946

[1] NA

belo_horizonte mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 20.6943 94.0809950 20.8598 91.6961065 19.8140 104.8428430 21.4826 84.8526889 21.5215 90.8782542
pedestrian 49.7436 167.2877693 49.9927 159.6150879 49.9215 156.7797164 49.3868 174.8993747 52.7365 170.3136347
motorcycle 96.5781 131.2723884 96.7713 129.1402955 98.7589 120.7357151 100.7249 120.3699349 89.6011 179.5232516
cycle 108.3245 14.9941586 85.6897 64.6578301 110.7089 13.1267860 110.2783 13.8203744 112.5123 14.6420211
other 73.2054 51.7445473 73.5618 50.4780934 74.6059 46.4065241 74.8996 45.3302782 74.1258 48.9944901
truck 2.5416 7.2030762 2.5393 7.1966518 2.5360 7.1872046 2.5426 7.2058693 2.5836 7.3221071
bus 0.9731 5.1450544 0.9777 5.0550723 0.9990 4.6962287 0.9148 5.9912962 1.0070 4.9296170
rail 0.3230 0.1470016 0.3239 0.1448435 0.3278 0.1336762 0.3230 0.1470016 0.3265 0.1374755

[1] “ub”

belo_horizonte ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 23.4810 106.750038 23.7774 104.521401 22.4379 118.726648 24.3910 96.340418 24.4645 103.305583
pedestrian 55.8588 187.853050 56.8504 181.509942 55.9525 175.720147 55.3868 196.147830 59.2576 191.373654
motorcycle 109.3707 148.660571 110.6506 147.661953 111.6937 136.548902 113.9938 136.226758 101.4568 203.277047
cycle 147.8240 20.461650 116.9150 88.219124 151.0145 17.905830 150.4603 18.856095 153.5965 19.988599
other 84.3098 59.593601 84.7444 58.151621 85.9053 53.434981 86.2613 52.206516 85.4718 56.493805
truck 3.9306 11.139633 3.9345 11.150817 3.9197 11.108881 3.9318 11.142931 4.0045 11.349087
bus 1.6165 8.546836 1.6277 8.416077 1.6641 7.822892 1.5078 9.874984 1.6871 8.258978
rail 2.8034 1.275719 2.8110 1.256990 2.8450 1.160078 2.8034 1.275719 2.8335 1.193049

[1] “lb”

belo_horizonte lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 18.3060 83.223222 18.4038 80.8998498 17.5580 92.9054180 18.9889 75.002741 19.0015 80.2370112
pedestrian 44.5581 149.848802 44.4367 141.8759818 44.7804 140.6339719 44.2834 156.826060 47.1814 152.3733031
motorcycle 85.6537 116.423576 85.3199 113.8584154 87.6637 107.1714712 89.3625 106.791472 79.4713 159.2273704
cycle 79.4725 11.000506 62.8765 47.4439717 81.2488 9.6336895 80.9175 10.140806 82.5080 10.7373559
other 64.1162 45.319972 64.4240 44.2077658 65.3506 40.6495319 65.5994 39.701678 64.8717 42.8778618
truck 1.6580 4.698986 1.6548 4.6897863 1.6551 4.6906959 1.6587 4.700969 1.6819 4.7665365
bus 0.6026 3.186333 0.6048 3.1271696 0.6173 2.9017843 0.5700 3.733052 0.6194 3.0323132
rail 0.0372 0.016939 0.0373 0.0166904 0.0378 0.0154036 0.0372 0.016939 0.0376 0.0158414

[1] NA

bogota mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.8238 20.707117 6.8440 20.223046 6.4773 23.160916 7.0322 18.005502 7.0655 19.920139
pedestrian 40.1758 166.992877 40.2379 157.727596 40.9571 158.884025 38.8934 163.314089 42.0887 165.318409
cycle 100.8657 63.011979 80.6980 92.555370 102.8656 59.269392 99.5286 54.307144 105.9978 61.118033
motorcycle 142.6302 195.270338 142.4621 191.572120 147.2688 188.956334 145.4298 165.892543 122.9984 236.205298
truck 0.7701 1.558600 0.7678 1.552663 0.7726 1.563682 0.7594 1.536887 0.7816 1.581798
bus 1.0381 7.347687 1.0405 7.189438 1.0577 6.922504 0.9888 8.332384 1.0643 7.044490

[1] “ub”

bogota ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 10.6502 32.318499 10.6876 31.58047 10.0770 36.032632 10.9722 28.093569 11.0244 31.081491
pedestrian 50.1385 208.403248 50.3407 197.32943 51.0748 198.133764 48.5259 203.761102 52.5371 206.358363
cycle 129.4122 80.845290 104.3260 119.65515 131.9237 76.012199 127.8136 69.740655 135.9358 78.380194
motorcycle 180.3113 246.858174 180.5694 242.81598 185.8573 238.468150 183.9644 209.849222 156.5546 300.646211
truck 2.3795 4.815833 2.3706 4.79364 2.3898 4.836738 2.3347 4.725156 2.4276 4.912867
bus 1.8521 13.109280 1.8567 12.82911 1.8897 12.367584 1.7613 14.842484 1.9055 12.612433

[1] “lb”

bogota lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 4.4188 13.4090654 4.4300 13.0900062 4.2074 15.0444961 4.5548 11.6622879 4.5753 12.899233
pedestrian 32.3629 134.5181879 32.3521 126.8162946 33.0144 128.0720895 31.3396 131.5954985 33.8879 133.106772
cycle 79.1795 49.4643663 62.9251 72.1709873 80.7816 46.5449711 78.0743 42.6007160 83.2232 47.986262
motorcycle 113.8443 155.8604047 113.4751 152.5925938 117.7209 151.0442107 116.0041 132.3264916 97.6149 187.458930
truck 0.2607 0.5275558 0.2601 0.5259449 0.2613 0.5287904 0.2581 0.5223553 0.2634 0.533092
bus 0.5932 4.1986840 0.5946 4.1080556 0.6037 3.9509203 0.5657 4.7670812 0.6063 4.012876

[1] NA

buenos_aires mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 111.7328 251.388194 110.9234 237.238050 116.6334 245.152800 102.9671 244.617122 137.4800 293.231264
car 47.2257 85.488915 47.3479 82.985725 44.7110 102.740472 49.3642 69.196428 51.5467 85.819325
cycle 74.0978 15.235648 63.4961 34.766165 76.8499 14.501969 71.5877 13.109952 87.7472 17.016009
motorcycle 674.2159 207.374100 667.4162 201.387606 717.1255 199.817431 705.0904 157.683870 577.2727 402.456587
truck 2.5026 2.539275 2.5026 2.539275 2.5026 2.539275 2.5026 2.539275 2.5026 2.539275
bus 1.1910 3.385700 1.1976 3.278905 1.2106 3.104124 1.1290 4.131322 1.2067 3.153495

[1] “ub”

buenos_aires ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 141.9960 319.477708 142.9082 305.645609 147.5772 310.193953 130.9247 311.035603 175.0190 373.298192
car 64.7760 117.258836 65.1457 114.179427 61.1004 140.401251 67.6924 94.888022 71.8671 119.650511
cycle 158.2112 32.530664 135.8961 74.407496 163.4195 30.838078 153.9443 28.192048 184.0823 35.697401
motorcycle 872.2537 268.286210 874.8049 263.965514 923.8152 257.408735 912.9440 204.167491 747.7302 521.294254
truck 9.0588 9.191765 9.0588 9.191765 9.0588 9.191765 9.0588 9.191765 9.0588 9.191765
bus 3.6287 10.315435 3.6489 9.990058 3.6884 9.457539 3.4397 12.587173 3.6766 9.607962

[1] “lb”

buenos_aires lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 89.1068 200.4818625 87.9344 188.0700397 93.3272 196.1653188 82.1190 195.0887267 109.1349 232.7738931
car 35.0034 63.3638218 35.0651 61.4577982 33.2397 76.3807083 36.5921 51.2930783 37.6580 62.6963277
cycle 36.2429 7.4521081 30.9991 16.9730261 37.7168 7.1173454 34.8257 6.3776869 43.4605 8.4279017
motorcycle 527.8769 162.3634361 519.4750 156.7474939 563.2136 156.9319371 551.4437 123.3228790 451.4192 314.7154605
truck 0.6913 0.7014883 0.6913 0.7014883 0.6913 0.7014883 0.6913 0.7014883 0.6913 0.7014883
bus 0.3909 1.1112437 0.3931 1.0761920 0.3973 1.0188257 0.3705 1.3559696 0.3961 1.0350302

[1] NA

cali mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 69.8878 87.9495819 69.3487 82.8320213 71.0654 83.8934621 66.2972 84.3205144 71.7264 84.6449065
motorcycle 70.6241 153.3551254 70.7238 148.8021154 74.5371 150.7946093 72.6878 137.4659883 67.7286 161.4660941
cycle 102.3048 28.9454320 92.1255 52.2167012 104.9552 26.7896305 99.0742 25.0053467 105.3279 27.8381844
other 66.7710 0.2783215 67.1003 0.2601007 65.9279 0.2182577 61.5391 0.1924974 69.5604 0.2645591
car 8.3144 11.1328585 8.2938 10.8475721 7.5384 12.7977271 8.4057 10.0156893 8.5189 10.4923566
bus 0.1400 0.2783215 0.1404 0.2739747 0.1415 0.2600644 0.1297 0.3783842 0.1421 0.2566094

[1] “ub”

cali ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 84.1714 105.924644 83.9646 100.289604 85.4478 100.872022 80.0691 101.836343 86.1464 101.662094
motorcycle 83.4710 181.251265 84.0374 176.813818 87.7662 177.558265 85.9541 162.554948 79.9811 190.676275
cycle 136.6638 38.666758 123.1834 69.820315 140.0048 35.735966 132.8932 33.540941 140.3546 37.095749
other 497.1337 2.072202 500.0252 1.938248 490.6509 1.624324 458.2285 1.433362 517.7011 1.968973
car 12.9920 17.396195 12.9634 16.955106 11.7396 19.930018 13.1111 15.622335 13.3432 16.434299
bus 1.0343 2.056513 1.0371 2.024395 1.0457 1.921612 0.9581 2.795875 1.0503 1.896083

[1] “lb”

cali lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 58.6584 73.8180712 58.0119 69.2909893 59.6620 70.4315232 55.4457 70.5189102 60.3258 71.1910118
motorcycle 60.5031 131.3781462 60.3900 127.0599093 63.9718 129.4202529 62.1441 117.5257808 58.0543 138.4024770
cycle 78.8129 22.2988070 70.9267 40.2012183 80.8756 20.6433427 76.0300 19.1892263 81.2826 21.4829992
other 8.9772 0.0374199 9.0142 0.0349417 8.8660 0.0293514 8.2717 0.0258744 9.3552 0.0355805
car 5.4129 7.2478923 5.4002 7.0630735 4.9211 8.3543535 5.4802 6.5298246 5.5334 6.8153264
bus 0.0189 0.0376671 0.0190 0.0370788 0.0192 0.0351962 0.0175 0.0512092 0.0192 0.0347286

[1] NA

copiapo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 100.3872 1.1454082 75.0357 5.7615960 101.8598 1.0804167 99.8012 1.1022943 119.1621 1.3139593
pedestrian 12.5971 2.5198980 12.3907 2.3537704 12.6288 2.4185891 12.2167 2.7296321 14.9317 2.8950551
car 14.1296 5.0397959 14.1616 4.8702823 12.6953 5.2371287 14.6368 4.4590856 14.6417 4.7296500
motorcycle 97.5116 2.5198980 97.3531 2.3308439 99.2911 2.2751969 97.5770 2.4664082 147.2495 13.5711721
truck 5.3253 0.9163265 5.2790 0.9083453 5.3181 0.9150758 5.2984 0.9116871 5.6562 0.9732552
bus 3.9393 0.6872449 3.9642 0.6648022 4.0525 0.5909760 3.7425 0.9113077 4.0074 0.6276014

[1] “ub”

copiapo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 322.3291 3.677742 240.2087 18.444365 322.1322 3.416824 325.7586 3.597972 512.5455 5.651660
pedestrian 32.7235 6.545953 32.0750 6.093046 32.2110 6.168842 32.3842 7.235734 54.3610 10.539839
car 26.6307 9.498753 26.5876 9.143670 23.6692 9.764101 28.0409 8.542655 31.8940 10.302586
motorcycle 257.1913 6.646346 256.9138 6.151075 260.4957 5.969102 260.8136 6.592466 388.8502 35.838165
truck 23.9335 4.118219 23.5208 4.047205 23.7442 4.085641 23.8489 4.103650 30.1188 5.182504
bus 12.4997 2.180678 12.5787 2.109466 12.8590 1.875210 11.8751 2.891646 12.7158 1.991425

[1] “lb”

copiapo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 33.6459 0.3838968 25.1693 1.9326183 34.4739 0.3656613 32.9020 0.3633991 34.6309 0.3818630
pedestrian 5.3419 1.0685802 5.2581 0.9988404 5.4167 1.0373746 5.0767 1.1343083 5.4336 1.0534972
car 8.7921 3.1359858 8.8177 3.0324756 7.9159 3.2655080 9.0737 2.7643056 8.9392 2.8876043
motorcycle 37.3862 0.9661356 37.2982 0.8930006 38.2494 0.8764620 36.9574 0.9341558 56.3598 5.1943686
truck 1.4225 0.2447742 1.4170 0.2438199 1.4230 0.2448602 1.4172 0.2438479 1.4363 0.2471499
bus 1.2415 0.2165866 1.2493 0.2095137 1.2772 0.1862472 1.1794 0.2872004 1.2629 0.1977898

[1] NA

coquimbo_laserena mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 22.2518 9.6214286 21.9618 8.9297239 23.0871 9.3891400 20.5299 9.4550220 21.1434 8.7283094
car 21.5976 13.9739796 21.6691 13.5079552 19.8097 14.6616340 22.6626 12.4696939 21.9793 12.8100186
cycle 71.8376 1.3744898 55.7814 6.2272429 75.6049 1.2699582 67.8560 1.2301981 68.5855 1.2454277
motorcycle 141.0062 5.7270408 140.7829 5.5311996 146.3244 5.3677313 130.8203 4.9106912 215.6394 35.1551289
truck 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265
bus 2.8647 1.3744898 2.8540 1.3344701 2.9614 1.2456265 2.6549 1.6098838 2.8453 1.2648078

[1] “ub”

coquimbo_laserena ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 35.2171 15.227507 34.8063 14.152346 36.3417 14.779583 32.8823 15.143879 33.5437 13.847303
car 32.9300 21.306214 33.0187 20.583026 30.1348 22.303524 34.6991 19.092578 33.4262 19.481557
cycle 174.8921 3.346263 135.9017 15.171594 183.5113 3.082495 166.2995 3.014935 167.1808 3.035794
motorcycle 265.6494 10.789487 265.5599 10.433550 274.6859 10.076516 248.3812 9.323657 407.3231 66.404824
truck 8.5100 2.490834 8.5100 2.490834 8.5100 2.490834 8.5100 2.490834 8.5100 2.490834
bus 9.2528 4.439558 9.1987 4.301127 9.6013 4.038466 8.5033 5.156306 9.1383 4.062173

[1] “lb”

coquimbo_laserena lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 14.3327 6.1972966 14.1275 5.7442922 14.9374 6.0747789 13.0914 6.0292156 13.5862 5.6085599
car 14.5031 9.3837495 14.5578 9.0749359 13.3246 9.8618657 15.1721 8.3481588 14.7881 8.6188441
cycle 29.6959 0.5681807 23.0425 2.5723842 31.3365 0.5263679 27.8838 0.5055214 28.3166 0.5141945
motorcycle 75.7168 3.0752773 75.4985 2.9662497 78.8380 2.8920747 69.7259 2.6173492 115.4668 18.8242474
truck 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977
bus 0.9274 0.4449853 0.9257 0.4328514 0.9556 0.4019214 0.8659 0.5250614 0.9258 0.4115219

[1] NA

gran_valparaiso mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 10.1909 14.6612245 10.3969 14.4150985 9.3256 15.8223745 10.9705 12.9965649 10.5303 13.8730445
pedestrian 18.2185 18.5556123 18.3360 17.7083593 19.0993 18.2633727 16.9726 18.7495175 17.8994 17.5234414
cycle 12.5236 0.4581633 8.8503 2.2115398 13.2419 0.4417639 12.2345 0.3815613 12.3608 0.4168820
other 29.4981 0.2290816 29.6106 0.2240654 31.2315 0.2177112 27.8557 0.2097183 29.1311 0.2069330
motorcycle 221.0877 5.9561225 221.6746 5.8279942 233.5870 5.1801596 227.3696 4.6460154 156.2287 35.6284625
truck 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796
bus 0.2249 0.4581633 0.2271 0.4438406 0.2386 0.4253276 0.2028 0.5076025 0.2262 0.4256562

[1] “ub”

gran_valparaiso ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 15.8908 22.861440 17.5758 24.368455 14.4220 24.469299 17.0064 20.147132 18.3778 24.211554
pedestrian 28.9743 29.510451 32.0095 30.913814 29.8525 28.545873 27.1369 29.977951 32.6190 31.933964
cycle 53.9121 1.972319 38.1133 9.523874 56.7315 1.892620 52.6968 1.643476 56.7424 1.913695
other 226.9588 1.762558 235.0041 1.778290 239.2739 1.667953 214.2872 1.613311 234.6050 1.666518
motorcycle 408.9693 11.017671 431.7872 11.352016 429.7863 9.531188 421.8221 8.619409 289.2477 65.963864
truck 4.9302 4.896791 4.9302 4.896791 4.9302 4.896791 4.9302 4.896791 4.9302 4.896791
bus 1.6970 3.456539 1.7482 3.416917 1.7960 3.201511 1.5290 3.826161 1.7573 3.306722

[1] “lb”

gran_valparaiso lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.9502 9.9990466 6.9720 9.6665549 6.3867 10.8360907 7.4691 8.8484288 7.0147 9.2413907
pedestrian 12.7100 12.9451985 12.5123 12.0839806 13.4466 12.8580820 11.7392 12.9681588 12.0752 11.8215794
cycle 2.9421 0.1076348 2.0786 0.5194030 3.1204 0.1040996 2.8693 0.0894872 2.8311 0.0954820
other 3.8767 0.0301064 3.8348 0.0290185 4.1158 0.0286911 3.6578 0.0275383 3.7458 0.0266086
motorcycle 121.7965 3.2812078 120.5165 3.1684699 129.1944 2.8650891 124.7413 2.5489331 85.9397 19.5988238
truck 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329
bus 0.0300 0.0611851 0.0300 0.0587291 0.0319 0.0568706 0.0271 0.0678059 0.0298 0.0560887

[1] NA

iquique_altohospicio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 15.3902 4.3525510 18.7213 5.0147411 15.6474 4.2098070 14.6591 4.5715689 16.7380 4.5738987
car 15.1838 7.3306122 16.5014 7.6688435 13.8216 7.6421817 15.6576 6.5568924 16.1961 7.0726876
cycle 108.1483 0.6872449 72.0910 6.6573185 114.2654 0.6164278 105.2573 0.6381383 117.7078 0.7269396
motorcycle 78.6938 2.5198980 88.0014 2.6640846 80.5810 2.2931184 77.6070 2.3618763 120.9277 14.3653173
truck 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082
bus 2.5092 0.6872449 3.1122 0.8230503 2.6394 0.6140811 2.2569 0.7983470 2.8021 0.6954945

[1] “ub”

iquique_altohospicio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 36.8781 10.429606 63.4181 16.987365 36.7627 9.890696 35.6253 11.110021 50.8975 13.908488
car 28.0403 13.537592 38.5860 17.932401 25.2802 13.977867 29.0325 12.157851 34.5478 15.086718
cycle 414.9287 2.636727 276.6273 25.545449 434.6202 2.344645 407.6825 2.471636 540.9422 3.340751
motorcycle 207.1735 6.634016 284.0301 8.598499 211.1096 6.007613 205.0494 6.240431 317.5529 37.722930
truck 12.3247 2.801593 12.3247 2.801593 12.3247 2.801593 12.3247 2.801593 12.3247 2.801593
bus 9.8339 2.693369 16.0307 4.239425 10.2182 2.377395 8.8923 3.145478 13.2410 3.286424

[1] “lb”

iquique_altohospicio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 7.2763 2.0578424 7.6383 2.0460268 7.4738 2.0107706 6.8283 2.1294470 7.2018 1.9679907
car 9.2745 4.4776331 9.4631 4.3978572 8.4697 4.6830450 9.5285 3.9902057 9.5481 4.1695675
cycle 29.3822 0.1867134 19.5740 1.8075782 31.2155 0.1683982 28.3290 0.1717487 29.4524 0.1818919
motorcycle 31.2194 0.9996945 32.5300 0.9847882 32.0261 0.9113776 30.7201 0.9349294 48.0885 5.7125513
truck 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906
bus 0.6868 0.1880933 0.7409 0.1959449 0.7261 0.1689484 0.6151 0.2175854 0.7010 0.1739839

[1] NA

medellin mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 60.0130 75.5178900 60.4816 71.5654896 63.2373 75.2126947 58.1474 76.0742285 62.4394 74.2695089
cycle 203.4152 10.0195726 158.7765 39.2508551 214.7934 9.3530707 205.4818 8.3018445 211.2451 9.6473120
motorcycle 101.5746 125.9868484 101.9486 124.5623773 109.5634 126.4616826 104.7210 115.2066599 97.8946 140.4775649
car 6.8183 4.4531434 6.8570 4.3449985 5.9797 5.8165461 6.9962 3.8862059 6.9650 4.2189101
auto_rickshaw 195.5191 0.1855476 195.0599 0.1851119 207.5336 0.1590745 207.8533 0.1441463 205.1990 0.1872441
truck 2.5887 1.1132858 2.5863 1.1122384 2.6356 1.1334723 2.5619 1.1017433 2.6218 1.1275163
bus 2.1451 2.7832146 2.1583 2.7040648 2.1863 2.6328782 1.9967 3.5300549 2.1837 2.6120820

[1] “ub”

medellin ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 71.3141 89.738667 73.0024 86.380949 75.0718 89.288298 69.1562 90.477109 74.0864 88.123135
cycle 303.1832 14.933822 236.7741 58.532504 319.7052 13.921403 306.6371 12.388706 314.4582 14.360927
motorcycle 117.3443 145.546556 119.4602 145.958325 126.4965 146.006431 120.9989 133.114522 113.0327 162.200617
car 12.0148 7.847041 12.1124 7.675190 10.4948 10.208525 12.3367 6.852756 12.3419 7.475884
auto_rickshaw 1453.5691 1.379437 1454.4860 1.380307 1542.6314 1.182427 1545.2692 1.071644 1525.2395 1.391781
truck 8.2707 3.556854 8.2786 3.560253 8.4645 3.640223 8.1595 3.509047 8.4065 3.615264
bus 4.4238 5.739837 4.4588 5.586231 4.5484 5.477632 4.0691 7.194188 4.5341 5.423492

[1] “lb”

medellin lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 50.7862 63.9072762 50.7911 60.0991553 53.5452 63.6851925 49.1482 64.3006069 52.9017 62.9246511
cycle 137.1364 6.7548952 106.9897 26.4487385 144.9971 6.3138276 138.3597 5.5899894 142.5876 6.5118053
motorcycle 88.4302 109.6833831 88.1637 107.7198097 95.3968 110.1100658 91.1104 100.2332278 85.2686 122.3594129
car 4.0464 2.6427847 4.0658 2.5763249 3.5585 3.4614518 4.1499 2.3051926 4.1172 2.4939452
auto_rickshaw 26.3080 0.0249663 26.1810 0.0248457 27.9286 0.0214073 27.9670 0.0193951 27.6152 0.0251989
truck 0.8431 0.3625632 0.8417 0.3619593 0.8544 0.3674488 0.8366 0.3597705 0.8511 0.3660278
bus 1.1366 1.4746748 1.1431 1.4321018 1.1529 1.3883672 1.0646 1.8822730 1.1528 1.3788881

[1] NA

mexico_city mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 73.0351 502.387887 74.4091 485.801255 74.2080 478.814005 69.4316 502.119143 102.9110 675.649325
cycle 121.7899 32.285115 93.3651 134.086879 124.3868 29.879874 119.5318 28.321826 164.2893 40.692656
car 35.9935 288.203709 36.3136 283.963201 33.9380 317.401200 37.2254 250.214597 42.1252 318.247871
motorcycle 178.1959 102.367438 181.4207 101.980491 184.5348 96.907410 181.7255 86.813391 148.5436 277.856186
other 1396.2134 48.821393 1417.3689 47.646981 1429.5920 47.102985 1385.4221 41.743806 1926.2490 64.929521
truck 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302
bus 1.0021 11.024186 1.0085 10.759209 1.0175 10.273852 0.9622 12.774635 1.0523 10.874096

[1] “ub”

mexico_city ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 86.7711 596.87380 90.5291 591.04546 87.9869 567.72051 82.5498 596.98840 122.0641 801.39651
cycle 202.4369 53.66369 155.4094 223.19215 206.5427 49.61516 199.3892 47.24322 266.9894 66.13035
car 42.9765 344.11750 43.7594 342.18689 40.4510 378.31253 44.4515 298.78536 50.9789 385.13628
motorcycle 242.6266 139.38066 251.5467 141.39985 250.6830 131.64478 247.5520 118.25985 202.4931 378.77074
other 2112.4578 73.86631 2176.7407 73.17441 2159.6359 71.15687 2103.1298 63.36888 2850.2333 96.07495
truck 3.9064 18.23497 3.9064 18.23497 3.9064 18.23497 3.9064 18.23497 3.9064 18.23497
bus 2.4525 26.98013 2.4843 26.50379 2.5081 25.32571 2.2948 30.46852 2.8739 29.69806

[1] “lb”

mexico_city lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 62.0063 426.523634 62.3141 406.835638 63.0965 407.119269 58.9160 426.072382 87.2766 573.003366
cycle 75.5553 20.028850 57.8566 83.091129 77.2297 18.551915 73.9580 17.523596 103.5593 25.650508
car 30.3504 243.018992 30.4708 238.273346 28.6608 268.046455 31.3844 210.953522 35.0492 264.790389
motorcycle 132.0723 75.871000 132.8828 74.696313 137.0200 71.955259 134.6145 64.307657 109.9595 205.683168
other 965.8908 33.774304 969.9563 32.606537 990.0598 32.621036 956.7537 28.827706 1346.6608 45.392906
truck 1.0490 4.896599 1.0490 4.896599 1.0490 4.896599 1.0490 4.896599 1.0490 4.896599
bus 0.5021 5.523522 0.5046 5.383122 0.5088 5.137579 0.4853 6.443834 0.5110 5.280585

[1] NA

montevideo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 127.1312 18.6166299 125.4761 17.210262 135.1394 18.0930074 117.0286 18.2601845 129.2319 18.0942501
car 96.8602 13.8778514 96.5548 13.400615 92.6601 15.8650608 100.5142 11.7081415 102.0489 13.1622717
cycle 589.5159 4.4002943 450.9948 14.498265 622.1760 4.2353078 573.1258 3.8700318 607.3209 4.1785199
motorcycle 1322.2945 46.0338484 1307.4439 43.734539 1400.8035 45.0757077 1326.7599 36.2424835 1194.2829 68.5407893
truck 12.0134 1.0154525 12.0134 1.015453 12.0134 1.0154525 12.0134 1.0154525 12.0134 1.0154525
bus 1.3937 0.3384842 1.4026 0.328266 1.4228 0.3029923 1.3348 0.3959394 1.4101 0.3141271

[1] “ub”

montevideo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 198.3023 29.038661 195.1154 26.761966 208.2021 27.874932 183.2159 28.587512 204.6457 28.653227
car 163.2981 23.396881 162.2034 22.511815 155.5828 26.638539 169.0813 19.695001 173.2782 22.349433
cycle 1376.5005 10.274544 1053.5193 33.867796 1438.8846 9.794847 1348.1458 9.103354 1425.8535 9.810228
motorcycle 1885.5456 65.642657 1859.4544 62.199520 1979.7780 63.706217 1904.7609 52.031468 1703.1018 97.742287
truck 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105
bus 10.2983 2.501054 10.3639 2.425552 10.5133 2.238806 9.8630 2.925590 10.4195 2.321080

[1] “lb”

montevideo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 84.5359 12.3791268 83.5522 11.4599900 90.6987 12.1431003 77.5962 12.1074760 84.6325 11.8497250
car 59.1422 8.4737243 59.0781 8.1993059 56.7490 9.7164398 61.4688 7.1600401 61.8329 7.9752118
cycle 264.9628 1.9777489 202.5700 6.5120769 282.0292 1.9198435 256.0114 1.7287173 270.9317 1.8640781
motorcycle 954.9092 33.2438391 944.9573 31.6092130 1017.9869 32.7572543 952.3490 26.0148759 861.5960 49.4476381
truck 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218
bus 0.1886 0.0458093 0.1898 0.0444264 0.1926 0.0410059 0.1807 0.0535851 0.1908 0.0425129

[1] NA

osorno mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 22.7598 5.7270408 22.4025 5.3323737 23.4657 5.5696418 21.5952 5.8995839 21.6774 5.2326046
car 24.7706 7.7887755 24.8309 7.5120395 22.1570 8.2134335 25.5833 6.9777388 24.9495 7.1720948
cycle 12.0119 0.2290816 10.0189 0.7472002 12.4468 0.2104352 11.7991 0.1985371 11.4687 0.2084666
motorcycle 45.5044 1.1454082 46.5338 1.0636982 45.5475 1.0859062 44.7088 1.0726431 69.2111 6.1989133
truck 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714

[1] “ub”

osorno ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 44.3791 11.167093 43.7431 10.412012 45.5308 10.806851 42.6048 11.639180 42.4105 10.237249
car 43.5930 13.707238 43.6369 13.201398 38.9306 14.431263 45.2242 12.334720 43.7703 12.582430
cycle 95.4709 1.820749 79.6669 5.941471 98.7762 1.669989 94.1317 1.583908 91.2541 1.658726
motorcycle 172.7219 4.347643 176.8447 4.042425 172.5140 4.112941 170.5096 4.090830 263.4515 23.596100
truck 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948

[1] “lb”

osorno lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 11.9673 3.0113167 11.7641 2.8001695 12.4032 2.9439257 11.2208 3.0654017 11.3633 2.7429297
car 14.7135 4.6264777 14.7669 4.4674020 13.1852 4.8876382 15.1331 4.1275012 14.8593 4.2715407
cycle 1.5156 0.0289052 1.2636 0.0942390 1.5730 0.0265943 1.4832 0.0249568 1.4456 0.0262761
motorcycle 12.0992 0.3045538 12.3572 0.2824690 12.1399 0.2894296 11.8257 0.2837200 18.3486 1.6433941
truck 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958

[1] NA

puerto_montt mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 42.0006 13.5158163 41.5850 12.5524148 43.2784 12.9463182 39.6794 13.9282516 40.4537 12.4927183
car 11.3746 6.8724490 11.4059 6.6648685 10.4075 7.1611442 11.7836 6.2991096 11.3938 6.4548372
motorcycle 169.5124 0.9163265 170.5120 0.8563746 175.2827 0.8553068 164.9084 0.8277679 108.2557 10.2298904
cycle 79.6979 0.4581633 50.0583 4.2591074 83.8780 0.4041241 76.5418 0.4316385 76.2855 0.4385465
truck 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714
bus 0.8997 0.4581633 0.8942 0.4442485 0.9332 0.4219770 0.8459 0.5026761 0.8914 0.4196498

[1] “ub”

puerto_montt ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 70.6603 22.738532 70.1449 21.173203 72.2980 21.627234 67.5135 23.698596 68.3355 21.103038
car 20.1000 12.144300 20.1431 11.770354 18.3350 12.615772 20.8803 11.161858 20.0820 11.376860
motorcycle 743.8968 4.021254 751.1217 3.772413 765.6456 3.736032 730.6822 3.667705 478.8350 45.248711
cycle 346.0750 1.989499 217.4813 18.503948 363.4663 1.751181 333.3802 1.880015 331.4275 1.905294
truck 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948
bus 6.7497 3.437099 6.7084 3.332972 6.9995 3.165030 6.3463 3.771105 6.6877 3.148228

[1] “lb”

puerto_montt lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 26.7752 8.6162851 26.4647 7.9883504 27.7598 8.3040704 25.0552 8.7948814 25.7333 7.9468237
car 6.6472 4.0162002 6.6689 3.8969026 6.0978 4.1957256 6.8694 3.6721162 6.6727 3.7802509
motorcycle 43.4005 0.2346085 43.5306 0.2186270 45.0713 0.2199290 41.8721 0.2101799 27.5579 2.6041555
cycle 18.4026 0.1057922 11.5530 0.9829620 19.4071 0.0935034 17.6212 0.0993705 17.6058 0.1012114
truck 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958
bus 0.1200 0.0611272 0.1193 0.0592665 0.1245 0.0563089 0.1129 0.0670651 0.1189 0.0559880

[1] NA

san_antonio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 17.4146 2.8519751 17.2761 2.6995008 16.0427 2.4906014 17.6805 3.3184558 19.6683 3.1233840
car 9.3741 3.3699398 9.3860 3.2294413 7.4930 3.2046539 10.4284 3.1330080 11.0347 3.4491619
cycle 64.4552 0.2689038 37.1739 2.2009813 61.4349 0.2316371 67.9880 0.2551047 73.5051 0.3053182
other 39.4440 0.2633219 38.4484 0.2552725 30.1947 0.0913646 38.6105 0.2232303 52.1940 0.2922394
motorcycle 23.0143 0.2202140 22.9629 0.2054472 23.7951 0.1717164 25.2193 0.2086202 17.3722 1.1978922
truck 5.3610 1.3388402 5.3610 1.3388402 5.3610 1.3388402 5.3610 1.3388402 5.3610 1.3388402

[1] “ub”

san_antonio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 116.3383 19.052597 115.2940 18.015410 105.8991 16.440697 117.4555 22.045235 150.8295 23.952114
car 56.1034 20.168944 56.0082 19.270674 44.0309 18.831349 62.1368 18.667744 76.3877 23.876874
cycle 934.2915 3.897817 535.6126 31.712363 862.3366 3.251397 974.7996 3.657643 1193.3888 4.956979
other 490.2866 3.273080 478.2162 3.175044 455.5422 1.378402 464.8262 2.687439 704.1769 3.942757
motorcycle 274.5103 2.626666 274.7744 2.458386 278.6239 2.010682 299.5548 2.477989 223.8070 15.432502
truck 26.9091 6.720243 26.9091 6.720243 26.9091 6.720243 26.9091 6.720243 26.9091 6.720243

[1] “lb”

san_antonio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 3.0431 0.4983599 3.0219 0.4721936 2.8415 0.4411390 3.0944 0.5807923 3.1331 0.4975492
car 1.7433 0.6267093 1.7488 0.6017104 1.4120 0.6038787 1.9423 0.5835239 1.8877 0.5900379
cycle 4.7861 0.0199675 2.7344 0.1618964 4.6974 0.0177114 5.1063 0.0191599 5.0499 0.0209756
other 3.5344 0.0235952 3.4432 0.0228604 2.1800 0.0065964 3.5878 0.0207430 4.4175 0.0247340
motorcycle 1.9911 0.0190520 1.9801 0.0177156 2.0975 0.0151368 2.1894 0.0181108 1.4081 0.0970937
truck 1.1244 0.2807968 1.1244 0.2807968 1.1244 0.2807968 1.1244 0.2807968 1.1244 0.2807968

[1] NA

santiago mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 62.7751 121.276050 62.2674 113.848075 66.2731 119.535488 60.7942 125.552760 62.8314 115.865602
car 26.0109 71.218394 26.1379 69.065013 24.5063 80.910158 27.4340 63.220644 26.4719 68.339987
cycle 116.1543 28.214316 96.5181 61.657848 123.5694 26.410867 116.4536 24.872559 116.7854 26.581563
motorcycle 166.1260 43.004078 164.2585 41.859537 172.3352 42.202625 167.8302 36.889022 142.3469 98.770314
other 163.7739 2.502883 161.4594 2.358486 174.8155 2.461061 163.4342 2.282939 164.3422 2.346609
truck 4.2952 7.508648 4.2560 7.439980 4.3996 7.690997 4.2466 7.423588 4.2817 7.484892
bus 1.0643 5.233301 1.0623 5.122458 1.1053 5.015210 1.0117 5.775803 1.0773 5.000338

[1] “ub”

santiago ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 76.2830 147.372020 76.4285 139.739837 80.1382 144.543623 73.8573 152.530828 77.3204 142.584308
car 31.6425 86.637652 31.9377 84.389940 29.7603 98.256641 33.3812 76.925866 32.3891 83.615747
cycle 157.8624 38.345380 131.2556 83.848904 167.2799 35.753240 158.3853 33.828464 160.2432 36.473018
motorcycle 215.4653 55.776255 214.3999 54.637544 222.9990 54.609526 217.7256 47.856031 184.6644 128.133180
other 330.4931 5.050778 327.8424 4.788893 352.0577 4.956285 329.6386 4.604573 333.3133 4.759314
truck 7.5547 13.206563 7.5086 13.126037 7.7400 13.530564 7.4615 13.043653 7.5527 13.203136
bus 2.0665 10.161536 2.0648 9.956565 2.1607 9.803921 1.9496 11.130437 2.0978 9.737087

[1] “lb”

santiago lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 52.8481 102.097826 52.3378 95.693047 55.9533 100.921848 51.1581 105.652140 52.3711 96.576023
car 21.6427 59.258114 21.7423 57.450344 20.4140 67.399017 22.8060 52.555494 21.9348 56.626977
cycle 87.1409 21.166858 72.3648 46.228180 92.9808 19.873065 87.3085 18.647646 86.9087 19.781328
motorcycle 129.3484 33.483668 127.7597 32.558206 134.3676 32.904864 130.5979 28.705386 110.7826 76.868782
other 81.8159 1.250356 80.5635 1.176816 87.4272 1.230805 81.6633 1.140718 81.7164 1.166812
truck 2.4607 4.301582 2.4381 4.262030 2.5184 4.402562 2.4347 4.256093 2.4472 4.277990
bus 0.5659 2.782505 0.5653 2.725999 0.5841 2.650365 0.5412 3.090113 0.5717 2.653648

[1] NA

sao_paulo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 165.6989 391.444962 163.9262 369.063524 174.5668 381.735195 154.2916 388.950885 194.6493 437.374193
other 66.1872 1.441407 65.7603 1.317858 69.3384 1.424238 64.2333 1.139318 79.2509 1.448498
car 60.8164 164.732230 61.0334 159.161556 58.0876 190.592273 63.2252 139.999663 66.4881 166.867067
motorcycle 1269.3434 424.391408 1261.7899 411.128447 1324.3893 402.632946 1279.9723 342.316918 1110.9969 958.063133
cycle 591.3154 37.682498 400.7301 220.908576 622.0851 34.583294 575.4208 32.903777 668.3499 40.689663
truck 8.4281 14.619985 8.3716 14.521937 8.5575 14.844372 8.2565 14.322331 8.9441 15.515091
bus 2.7345 9.678019 2.7308 9.326609 2.8911 9.043648 2.4592 10.810567 3.0614 10.003966

[1] “ub”

sao_paulo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 180.1010 425.468491 179.7207 404.62334 189.3408 414.042357 167.7428 422.85966 212.5004 477.485416
other 141.5049 3.081656 141.0796 2.82728 148.1949 3.043979 137.3150 2.43558 169.4941 3.097907
car 67.2938 182.277330 67.7440 176.66122 64.2035 210.659170 69.9619 154.91671 73.9638 185.628982
motorcycle 1368.6248 457.585066 1368.5829 445.92475 1426.9339 433.807957 1380.5222 369.20806 1197.7619 1032.884543
cycle 731.8628 46.639103 496.2191 273.54839 768.9145 42.745911 712.9301 40.76685 826.1781 50.298367
truck 11.7653 20.408830 11.7019 20.29890 11.9621 20.750308 11.5002 19.94906 12.5644 21.794953
bus 4.1422 14.660391 4.1481 14.16740 4.3825 13.708747 3.7189 16.34819 4.6515 15.200019

[1] “lb”

sao_paulo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 153.0143 361.4792387 150.7787 339.4631191 161.4996 353.1604207 142.4351 359.0619628 178.8530 401.8800750
other 30.9725 0.6745095 30.7018 0.6152731 32.4557 0.6666518 30.0599 0.5331773 37.0689 0.6775218
car 55.0712 149.1702567 55.1984 143.9452230 52.6533 172.7616452 57.2442 126.7560297 59.8948 150.3196940
motorcycle 1178.9139 394.1572610 1168.8102 380.8329008 1230.7486 374.1648700 1188.2394 317.7837849 1031.8835 889.8400490
cycle 478.8777 30.5172346 324.3719 178.8149764 504.4493 28.0436178 465.5111 26.6189098 541.7678 32.9832506
truck 6.0672 10.5244984 6.0247 10.4508512 6.1520 10.6716874 5.9559 10.3314249 6.4002 11.1022635
bus 1.8072 6.3960504 1.8021 6.1549096 1.9093 5.9723478 1.6279 7.1563511 2.0170 6.5911230

[1] NA

temuco_padrelascasas mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 21.1653 9.1632653 20.6253 8.4450674 22.2844 9.1477095 20.2168 9.4805464 20.2550 8.4653954
car 15.7637 8.0178571 15.7767 7.7451656 14.3855 8.6564787 16.4237 6.7418799 15.8242 7.4128984
cycle 41.0747 2.0617347 25.7282 3.6126240 43.2081 1.9172749 39.1443 1.7058065 39.6746 1.8856022
motorcycle 45.9009 1.8326531 46.4268 1.7528001 47.5470 1.7431457 41.4896 1.4873599 51.0712 7.4487762
truck 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633

[1] “ub”

temuco_padrelascasas ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 64.6292 27.980383 63.2075 25.880442 67.3884 27.662891 62.4751 29.297261 62.1030 25.955402
car 52.1751 26.537810 52.1949 25.623763 47.6561 28.677019 54.6135 22.418744 52.3774 24.536313
cycle 132.0760 6.629528 84.1024 11.809259 138.3479 6.138917 126.8391 5.527312 127.3199 6.051087
motorcycle 188.6573 7.532394 190.5612 7.194464 195.3265 7.160965 168.9651 6.057227 220.7109 32.190885
truck 10.8215 2.692553 10.8215 2.692553 10.8215 2.692553 10.8215 2.692553 10.8215 2.692553

[1] “lb”

temuco_padrelascasas lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 7.6461 3.3102766 7.4281 3.0414405 8.1052 3.3271598 7.2484 3.3991026 7.3041 3.0526735
car 5.0490 2.5680684 5.0525 2.4804145 4.6053 2.7712534 5.2385 2.1503741 5.0670 2.3736544
cycle 13.4291 0.6740733 8.2926 1.1644096 14.1707 0.6287982 12.7231 0.5544404 12.9878 0.6172647
motorcycle 11.6224 0.4640387 11.7715 0.4444220 12.0386 0.4413538 10.6209 0.3807467 12.4144 1.8106522
truck 0.3210 0.0798754 0.3210 0.0798754 0.3210 0.0798754 0.3210 0.0798754 0.3210 0.0798754

[1] NA

valdivia mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 11.1709 2.4658374 11.1458 2.3133532 10.9289 2.2432980 11.2539 2.7771376 10.9551 2.3218241
car 9.3230 3.3723376 9.3950 3.2410444 8.3130 3.5135348 9.4577 2.9393699 9.2864 3.1020623
cycle 30.0392 0.9870056 20.0280 1.9592776 29.9848 0.8931781 29.7699 0.9060076 29.6798 0.9108498
motorcycle 25.3734 0.6978317 25.7117 0.6332570 25.0987 0.6674989 25.4428 0.6779288 29.5951 2.7270232
bus 1.6756 0.4404724 1.6671 0.4194297 1.7185 0.3796737 1.5916 0.5228542 1.6908 0.4013434

[1] “ub”

valdivia ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 58.2753 12.863515 57.9674 12.031404 57.1025 11.721060 58.3606 14.401670 56.9006 12.059469
car 55.1287 19.941277 55.5448 19.161539 48.8049 20.627643 56.0335 17.414751 54.9810 18.366111
cycle 229.7493 7.548942 160.2718 15.678908 229.6830 6.841716 227.6800 6.929146 226.5977 6.954101
motorcycle 234.6321 6.452981 235.4310 5.798471 232.4446 6.181841 231.4583 6.167249 303.5850 27.973656
bus 13.0829 3.439182 13.0726 3.289011 13.3071 2.939967 12.9609 4.257812 13.2191 3.137834

[1] “lb”

valdivia lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2.2980 0.5072599 2.2999 0.4773500 2.2485 0.4615350 2.3258 0.5739442 2.2627 0.4795490
car 1.7844 0.6454652 1.7995 0.6207712 1.6065 0.6789815 1.8048 0.5609040 1.7775 0.5937680
cycle 4.4856 0.1473832 2.8908 0.2828025 4.4748 0.1332947 4.4471 0.1353431 4.4461 0.1364463
motorcycle 3.3639 0.0925168 3.4558 0.0851126 3.3219 0.0883452 3.4256 0.0912762 3.5244 0.3247522
bus 0.2652 0.0697149 0.2629 0.0661475 0.2738 0.0604884 0.2436 0.0800302 0.2675 0.0634863

[1] NA

accra mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 128.1403 112.437521 126.9727 104.26570 138.6244 112.619452 113.9726 98.914718 135.0009 112.151647
cycle 449.4991 8.195155 330.0390 39.88491 486.4779 7.999277 407.0136 5.972110 477.9979 8.060479
car 103.3258 22.290821 104.6050 21.48435 84.9629 25.627176 106.9012 17.109797 111.9036 22.205283
motorcycle 555.4034 23.110336 546.1697 22.70619 604.3113 22.057361 537.3007 16.061799 413.8102 56.981287
truck 60.4272 4.917093 60.2406 4.90191 61.0690 4.969315 59.3937 4.832998 60.8439 4.951004
bus 14.5731 10.325895 14.5163 10.04909 15.3880 10.011333 13.2087 10.928178 15.2276 9.901419

[1] “ub”

accra ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 149.1052 130.833323 151.1816 124.145189 160.3738 130.288850 133.0782 115.496078 159.2378 132.286415
cycle 612.4752 11.166494 449.7640 54.353563 661.3056 10.874013 555.2809 8.147636 656.5131 11.070780
car 134.7040 29.060121 138.7766 28.502702 110.5998 33.359987 139.1064 22.264325 147.0353 29.176536
motorcycle 717.1341 29.839949 717.6742 29.836230 777.0346 28.361764 696.9053 20.832938 535.4027 73.724449
truck 99.6527 8.108961 99.3974 8.088181 101.3842 8.249855 96.8185 7.878335 100.8600 8.207198
bus 20.9875 14.870893 21.0866 14.597498 22.1935 14.438919 18.9275 15.659635 22.0417 14.332163

[1] “lb”

accra lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 111.8889 98.177618 110.4216 90.674504 121.5647 98.760071 99.2172 86.108812 116.3101 96.624322
cycle 330.5584 6.026658 242.6660 29.325954 358.5138 5.895132 298.9663 4.386732 348.8337 5.882382
car 79.7972 17.214916 80.5531 16.544430 65.6916 19.814430 82.6352 13.225970 85.7453 17.014640
motorcycle 434.0420 18.060488 425.2626 17.679656 473.8924 17.297074 417.9063 12.492682 322.7523 44.442692
truck 38.3191 3.118110 38.2409 3.111747 38.5563 3.137414 37.9411 3.087353 38.4623 3.129761
bus 10.1722 7.207644 10.1209 7.006305 10.7216 6.975369 9.2637 7.664293 10.5789 6.878695

[1] NA

bangalore mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 294.0468 393.57928 291.6632 370.76791 336.1150 434.72547 284.6401 407.44600 287.8211 360.73540
car 150.0298 33.24149 148.6018 32.25796 120.0335 55.20311 152.3854 29.83436 154.2415 28.42436
motorcycle 171.1464 398.89792 170.3649 385.70468 202.2754 441.52891 176.1209 363.44983 158.0055 406.46949
cycle 134.2029 25.26353 114.0270 55.73971 154.6491 26.61472 133.1968 22.81831 132.1667 21.69632
other 1904.6280 15.95592 1880.2543 15.09975 2150.5712 16.89119 1942.4389 14.32295 1877.4962 13.80297
truck 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660
bus 13.6383 15.95592 13.6509 15.46275 14.3801 15.70140 12.9314 18.87003 13.9754 13.77448

[1] “ub”

bangalore ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 361.8257 484.30075 362.2826 460.54055 412.2823 533.23902 350.5022 501.72391 353.8024 443.43192
car 269.0562 59.61368 267.9175 58.15859 215.3687 99.04755 273.2809 53.50358 276.3380 50.92491
motorcycle 212.2047 494.59437 213.4090 483.15629 249.5130 544.63955 218.4642 450.83099 195.8797 503.90117
cycle 218.8340 41.19522 185.9008 90.87370 251.9138 43.35373 217.3346 37.23219 215.4697 35.37123
other 4376.5127 36.66400 4347.8698 34.91642 4855.3551 38.13531 4476.6069 33.00913 4330.2502 31.83511
truck 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721
bus 30.9160 36.16974 30.9544 35.06287 33.1625 36.20955 29.1099 42.47824 31.6417 31.18669

[1] “lb”

bangalore lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 241.6049 323.386205 239.3062 304.210671 276.5400 357.672243 233.7041 334.534018 236.5764 296.508803
car 84.2478 18.666451 83.3256 18.088027 67.3587 30.978114 85.5548 16.750125 86.6589 15.969922
motorcycle 139.7560 325.735204 138.8847 314.433897 165.6505 361.583610 143.6997 296.544147 129.0072 331.871420
cycle 82.5221 15.534678 70.1238 34.278547 95.1559 16.376091 81.8674 14.024935 81.2812 13.343027
other 902.2674 7.558696 888.4551 7.134912 1029.6778 8.087376 918.3491 6.771626 887.3213 6.523405
truck 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291
bus 6.3131 7.385953 6.3242 7.163550 6.5651 7.168319 6.0185 8.782412 6.4746 6.381470

[1] NA

cape_town mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 789.0843 331.988873 801.3425 323.073626 850.0153 325.257853 728.4018 306.794437 827.9439 332.374740
car 340.3576 188.431605 349.7411 188.381250 329.9250 205.737229 359.2379 166.992823 368.3968 192.708269
cycle 2248.8923 7.715949 1498.4717 104.362033 2485.7650 6.940877 2109.4889 7.006667 2373.5483 7.684482
motorcycle 7786.2810 47.717055 7895.1147 47.663597 8777.0031 44.562162 7244.9494 43.077382 4352.8262 350.264270
other 842.8863 2.030513 852.6063 1.960568 950.4515 1.803957 783.1260 1.886551 880.7431 2.121710
truck 28.5437 6.294590 28.7717 6.344878 30.4019 6.704376 26.4671 5.836641 29.8592 6.584691
bus 54.2745 20.305130 54.9320 20.248410 59.3576 20.007581 46.6591 21.879796 58.1236 20.072416

[1] “ub”

cape_town ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 859.5947 361.65448 898.1750 362.113154 922.1322 352.853336 796.5333 335.490635 924.7204 371.225303
car 378.1923 209.37797 398.3135 214.543775 365.8335 228.129340 399.6022 185.756294 417.8951 218.600804
cycle 3144.9420 10.79030 2095.5285 145.944443 3471.2858 9.692698 2953.3226 9.809461 3360.0038 10.878180
motorcycle 9290.0737 56.93282 9650.7711 58.262670 10432.5613 52.967678 8678.3285 51.600039 5200.7223 418.492973
other 1597.6671 3.84878 1636.8786 3.764002 1799.7628 3.415950 1485.3725 3.578262 1680.9863 4.049496
truck 46.9960 10.36379 48.1077 10.608943 49.6315 10.944982 44.0143 9.706248 49.4071 10.895482
bus 71.8369 26.87556 74.2559 27.371386 78.1328 26.336104 62.1910 29.163116 77.9150 26.907212

[1] “lb”

cape_town lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 727.7873 306.199589 728.7444 293.804606 786.6955 301.0285651 669.4019 281.9443704 748.3680 300.429334
car 307.7054 170.354455 312.3684 168.251122 298.7850 186.3187120 324.3836 150.7906919 327.5507 171.341672
cycle 1609.4077 5.521878 1072.3649 74.685549 1781.2319 4.9736449 1508.0040 5.0088354 1680.2027 5.439740
motorcycle 6613.1904 40.527945 6618.4563 39.956282 7475.8456 37.9559894 6134.2223 36.4731657 3693.7594 297.230317
other 444.9512 1.071887 446.1705 1.025969 502.1795 0.9531367 413.1442 0.9952644 461.9264 1.112781
truck 19.1334 4.219383 19.0706 4.205547 20.4397 4.5074657 17.6868 3.9003696 19.8281 4.372597
bus 41.5243 15.535037 41.5013 15.297738 45.6252 15.3788135 35.4857 16.6402497 43.9242 15.168808

[1] NA

delhi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 3182.7816 869.503820 3165.7179 824.119350 3297.0467 860.757840 2963.3910 836.175180 3104.7956 802.812719
cycle 2118.5811 101.678865 1849.9598 180.921132 2247.7585 96.310494 2048.3046 87.614897 2087.9164 91.214489
motorcycle 3849.4794 758.479472 3878.9309 723.436320 4148.9789 749.344169 3865.3168 651.582634 3475.3369 909.998309
car 771.7651 123.734206 779.3153 121.033510 699.6660 141.534992 782.6029 111.017899 805.7305 112.475343
truck 604.7529 49.717974 599.2890 49.268775 620.3744 51.002254 593.6986 48.809179 599.9633 49.324211
bus 39.9545 7.476387 40.0291 7.200227 41.6896 7.184743 36.0113 9.128015 40.9219 6.672195

[1] “ub”

delhi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 3438.0202 939.23243 3419.2477 890.11979 3556.0161 928.36682 3203.9517 904.05378 3359.5688 868.68989
cycle 2449.5659 117.56410 2138.7971 209.16865 2597.0171 111.27530 2369.2709 101.34402 2416.3188 105.56136
motorcycle 4168.6120 821.35955 4200.6480 783.43786 4488.1357 810.59905 4191.1630 706.51106 3765.1870 985.89401
car 915.9148 146.84518 924.5963 143.59673 829.8495 167.86973 929.1361 131.80469 957.1287 133.60967
truck 790.8367 65.01631 783.3894 64.40405 811.9262 66.75012 775.8917 63.78765 784.4958 64.49501
bus 79.6409 14.90260 79.7883 14.35190 83.0968 14.32081 71.7767 18.19371 81.5794 13.30127

[1] “lb”

delhi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2952.9700 806.72159 2937.5199 764.713430 3063.3668 799.751195 2747.0842 775.140241 2875.7748 743.594394
cycle 1832.4645 87.94702 1600.2546 156.500630 1945.6166 83.364516 1770.9580 75.751578 1804.3029 78.824309
motorcycle 3555.7414 700.60303 3582.8241 668.211208 3836.4754 692.903141 3565.7758 601.088540 3208.6722 840.173591
car 650.9838 104.36980 657.5452 102.121693 590.5135 119.454594 659.8769 93.608318 679.0089 94.785737
truck 462.9372 38.05902 458.9284 37.729446 474.5079 39.010269 454.7609 37.386830 459.3222 37.761821
bus 20.0446 3.75079 20.0823 3.612303 20.9157 3.604591 18.0674 4.579652 20.5274 3.346923

[1] NA

vizag mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 271.4938 116.631639 264.9513 107.754776 385.0096 158.427479 235.3643 104.481076 302.2880 122.745358
cycle 364.6108 15.924705 265.5381 34.657642 515.4865 21.065562 317.2444 11.441625 409.5330 15.846326
motorcycle 602.4036 117.753097 602.3560 112.056015 868.5045 154.656819 575.0383 87.370480 540.8138 162.037376
other 136.9948 2.018625 139.4413 1.947792 196.8235 2.584106 126.2149 1.385278 145.3662 1.635268
car 391.2613 8.074498 384.4736 7.583587 272.3785 28.689573 383.2009 5.908039 405.0352 7.153874
truck 596.9618 7.177332 593.9316 7.140899 645.1276 7.756434 584.4033 7.026339 609.7275 7.330815
bus 6.4667 3.364374 6.5013 3.231982 6.8003 3.163492 6.1896 3.845853 6.6809 3.011875

[1] “ub”

vizag ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 321.8365 138.258473 314.0828 127.736372 457.4346 188.229610 279.6004 124.118014 357.2278 145.053884
cycle 486.1785 21.234285 354.0083 46.204637 689.5913 28.180424 423.1999 15.262979 545.4644 21.106008
motorcycle 707.4757 138.291760 707.1473 131.550293 1025.6998 182.648987 675.3855 102.617099 634.3555 190.064126
other 286.2518 4.217934 291.3428 4.069637 411.7827 5.406315 263.7747 2.895073 303.6069 3.415365
car 656.6528 13.551410 644.9153 12.720696 456.5557 48.088924 641.9833 9.897841 682.2295 12.049777
truck 1011.7004 12.163775 1002.6253 12.054664 1156.3137 13.902475 974.2230 11.713180 1049.6567 12.620128
bus 14.6185 7.605425 14.6257 7.270889 16.7866 7.809116 13.5942 8.446570 15.5131 6.993607

[1] “lb”

vizag lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 231.6327 99.5076001 226.1157 91.9604599 326.6576 134.416252 200.6601 89.0754631 258.4163 104.9310333
cycle 273.4848 11.9446930 199.2095 26.0005245 385.3899 15.749113 237.8619 8.5786445 307.5170 11.8989534
motorcycle 513.1716 100.3107241 513.3250 95.4936257 735.6856 131.005405 489.8423 74.4259346 461.2663 138.2035511
other 65.5648 0.9661007 66.7405 0.9322677 94.0795 1.235174 60.3951 0.6628691 69.6024 0.7829786
car 233.6926 4.8227378 229.7588 4.5319001 162.8869 17.156845 229.2842 3.5350116 241.0521 4.2575468
truck 371.0380 4.4610273 370.0262 4.4488623 387.0804 4.653906 366.8297 4.4104304 375.3313 4.5126459
bus 3.4212 1.7798975 3.4439 1.7120795 3.5086 1.632203 3.2997 2.0502172 3.5086 1.5817234

[1] NA

kisumu mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 56.2901 14.9479620 55.6493 13.9442760 66.3832 16.6642379 54.3472 14.4069689 54.7773 13.3592917
cycle 54.9226 1.5734697 47.4029 3.1057776 64.8822 1.7235766 53.5408 1.4166284 53.2910 1.4004867
car 52.3368 1.9668371 52.4719 1.8705998 53.8332 3.4648749 54.1387 1.4717718 53.4549 1.6650734
motorcycle 304.9732 29.8959240 302.6157 27.6744299 367.5672 31.6689437 303.0325 23.5404558 265.2120 33.6966196
other 872.1425 2.7535720 855.1834 2.7000278 843.0618 1.5539736 1125.2298 2.1151506 985.7780 2.4107202
truck 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674
bus 72.3582 7.4739810 71.4877 7.0162820 89.4966 7.9360737 64.4617 8.5005897 74.5978 6.0273827

[1] “ub”

kisumu ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 90.6847 24.081525 89.3197 22.381236 105.8159 26.563071 87.2336 23.124841 88.7488 21.644390
cycle 159.8588 4.579771 137.7138 9.022833 187.6474 4.984796 155.5306 4.115162 155.6237 4.089791
car 199.6101 7.501426 200.3357 7.141879 205.9881 13.258039 205.0037 5.573067 204.7757 6.378579
motorcycle 436.7380 42.812576 432.1982 39.524851 526.0973 45.327620 435.2147 33.808759 377.3898 47.949414
other 2024.7583 6.392668 1980.7860 6.253837 1942.1914 3.579944 2606.0207 4.898667 2297.8292 5.619341
truck 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586
bus 150.6565 15.561515 148.7495 14.599268 180.7323 16.026353 135.1560 17.823075 156.7130 12.662163

[1] “lb”

kisumu lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 36.3768 9.6599474 36.0545 9.0343344 43.0241 10.8003694 35.1952 9.3299222 35.3185 8.6136119
cycle 19.1729 0.5492803 16.5705 1.0856782 22.7266 0.6037246 18.7167 0.4952225 18.5600 0.4877579
car 16.0495 0.6031479 16.0925 0.5736913 16.5013 1.0620735 16.6827 0.4535232 16.3297 0.5086562
motorcycle 219.5334 21.5204281 218.2213 19.9565043 263.2445 22.6806863 217.6751 16.9096418 192.0701 24.4035497
other 383.8493 1.2119081 377.0075 1.1903070 372.4103 0.6864453 496.0306 0.9324136 432.7571 1.0583076
truck 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370
bus 40.2773 4.1603004 39.8484 3.9109855 50.1896 4.4505406 35.9814 4.7448876 41.2895 3.3361221

[1] NA

nairobi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 186.8108 449.422279 186.5941 423.914825 198.6432 450.536762 179.6273 420.813908 185.1417 419.736491
car 74.6452 68.839299 74.5497 67.664961 72.8474 80.361580 78.1125 59.910867 75.3272 65.410624
cycle 106.4898 9.834186 87.1697 28.944320 112.7402 9.766582 105.1674 8.261455 105.8166 9.146711
motorcycle 616.5265 158.330387 614.0012 152.941925 660.6803 157.226278 608.7097 134.131701 529.1969 242.964978
other 579.0037 8.850767 576.4515 8.698135 615.7474 8.569634 575.0968 7.325870 578.4177 8.297112
truck 13.1925 4.917093 13.1925 4.917093 13.1925 4.917093 13.1925 4.917093 13.1925 4.917093
bus 13.3711 33.436231 13.3874 32.574926 14.4608 33.720506 12.2829 33.424076 13.4360 31.575799

[1] “ub”

nairobi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 221.5260 532.93873 224.3043 509.58700 234.7776 532.49208 212.8085 498.54778 220.7010 500.35321
car 107.6276 99.25634 108.8666 98.81271 105.0317 115.86572 112.3064 86.13697 108.9696 94.62413
cycle 204.0811 18.84661 167.0240 55.45958 215.8395 18.69798 201.5009 15.82896 203.2220 17.56637
motorcycle 780.7084 200.49399 787.8695 196.25089 833.7926 198.42293 771.5665 170.01788 669.8534 307.54319
other 1152.1652 17.61223 1156.5856 17.45184 1223.5463 17.02864 1143.7170 14.56924 1153.1462 16.54131
truck 32.2681 12.02689 32.2681 12.02689 32.2681 12.02689 32.2681 12.02689 32.2681 12.02689
bus 22.0432 55.12191 22.2957 54.25126 23.6722 55.20009 20.3312 55.32522 22.2153 52.20799

[1] “lb”

nairobi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 159.6349 384.043432 159.1313 361.523409 170.0870 385.769193 153.5210 359.654641 157.5302 357.138097
car 52.4836 48.401416 52.2849 47.456370 51.2062 56.488105 55.0220 42.200909 52.7818 45.833230
cycle 55.6791 5.141887 45.5839 15.135921 58.9956 5.110740 54.9977 4.320358 55.2165 4.772875
motorcycle 500.1672 128.448109 496.9947 123.796700 536.8411 127.755474 493.4171 108.726506 429.4505 197.169377
other 292.4568 4.470554 290.6104 4.385050 311.2963 4.332451 290.5609 3.701310 291.6116 4.183022
truck 5.3937 2.010313 5.3937 2.010313 5.3937 2.010313 5.3937 2.010313 5.3937 2.010313
bus 8.2971 20.748074 8.2878 20.166404 9.0246 21.043968 7.5933 20.662866 8.3105 19.530501

[1] NA

port_louis mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 1254.7881 19.9961773 1243.4102 18.0040202 1360.7282 18.4561011 1233.5440 16.803090 1123.2304 26.6666808
pedestrian 331.3352 14.4234721 315.3680 13.0252525 348.5091 14.0549064 301.6091 13.712420 357.4099 14.2797587
cycle 2177.2100 2.6224495 1546.5379 16.7116178 2314.5960 2.2810344 2202.0813 2.170151 2393.0201 2.1399582
truck 283.1557 1.6390309 276.8004 1.6022434 287.7674 1.6657257 272.1193 1.575147 291.0629 1.6848015
bus 36.9153 0.9834186 34.9955 0.9004504 40.8409 0.8942741 30.5802 1.052411 42.4048 0.9498459

[1] “ub”

port_louis ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 2157.5644 34.382730 2134.7265 30.909879 2334.5928 31.665016 2121.3364 28.896420 1935.0301 45.939667
pedestrian 592.6632 25.799437 565.5172 23.356855 621.3779 25.059342 543.4062 24.705538 636.4374 25.427869
cycle 6371.7385 7.674759 4530.3848 48.954546 6838.5017 6.739343 6456.3665 6.362749 7110.7233 6.358764
truck 1067.4940 6.179129 1039.5768 6.017532 1087.5362 6.295142 1019.4989 5.901312 1101.6777 6.376999
bus 129.3892 3.446915 122.8558 3.161140 143.0097 3.131416 107.6897 3.706122 148.0923 3.317195

[1] “lb”

port_louis lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 739.5004 11.7846038 734.1233 10.6297752 803.1942 10.8940436 727.2001 9.9057737 661.1011 15.6952403
pedestrian 186.8643 8.1344579 177.4680 7.3297417 197.1906 7.9524357 168.9139 7.6795371 202.3998 8.0865702
cycle 762.9872 0.9190181 541.2659 5.8488249 803.0799 0.7914353 769.9370 0.7587729 825.2861 0.7380121
truck 76.6438 0.4436483 75.1967 0.4352718 77.7056 0.4497944 74.1055 0.4289555 78.4721 0.4542312
bus 10.5642 0.2814295 10.0001 0.2573084 11.6970 0.2561233 8.7136 0.2998757 12.1767 0.2727525

Change in deaths due to injury per 100 million hours across cities

Write all injury tables in a single excel sheet